mirror of
https://github.com/Brandon-Rozek/website.git
synced 2024-11-25 09:36:31 -05:00
222 lines
No EOL
20 KiB
HTML
222 lines
No EOL
20 KiB
HTML
<!doctype html>
|
|
<html>
|
|
<head>
|
|
<meta charset='UTF-8'><meta name='viewport' content='width=device-width initial-scale=1'>
|
|
<title>ClusterAnalysisSpring2018.md</title><link href='http://fonts.googleapis.com/css?family=Open+Sans:400italic,700italic,700,400&subset=latin,latin-ext' rel='stylesheet' type='text/css' /><style type='text/css'>html {overflow-x: initial !important;}:root { --bg-color: #ffffff; --text-color: #333333; --code-block-bg-color: inherit; }
|
|
html { font-size: 14px; background-color: var(--bg-color); color: var(--text-color); font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; -webkit-font-smoothing: antialiased; }
|
|
body { margin: 0px; padding: 0px; height: auto; bottom: 0px; top: 0px; left: 0px; right: 0px; font-size: 1rem; line-height: 1.42857; overflow-x: hidden; background: inherit; }
|
|
a:active, a:hover { outline: 0px; }
|
|
.in-text-selection, ::selection { background: rgb(181, 214, 252); text-shadow: none; }
|
|
#write { margin: 0px auto; height: auto; width: inherit; word-break: normal; word-wrap: break-word; position: relative; padding-bottom: 70px; white-space: pre-wrap; overflow-x: visible; contain: content; }
|
|
.for-image #write { padding-left: 8px; padding-right: 8px; }
|
|
body.typora-export { padding-left: 30px; padding-right: 30px; }
|
|
@media screen and (max-width: 500px) {
|
|
body.typora-export { padding-left: 0px; padding-right: 0px; }
|
|
.CodeMirror-sizer { margin-left: 0px !important; }
|
|
.CodeMirror-gutters { display: none !important; }
|
|
}
|
|
.typora-export #write { margin: 0px auto; }
|
|
#write > p:first-child, #write > ul:first-child, #write > ol:first-child, #write > pre:first-child, #write > blockquote:first-child, #write > div:first-child, #write > table:first-child { margin-top: 30px; }
|
|
#write li > table:first-child { margin-top: -20px; }
|
|
img { max-width: 100%; vertical-align: middle; }
|
|
input, button, select, textarea { color: inherit; font-style: inherit; font-variant: inherit; font-weight: inherit; font-stretch: inherit; font-size: inherit; line-height: inherit; font-family: inherit; }
|
|
input[type="checkbox"], input[type="radio"] { line-height: normal; padding: 0px; }
|
|
::before, ::after, * { box-sizing: border-box; }
|
|
#write p, #write h1, #write h2, #write h3, #write h4, #write h5, #write h6, #write div, #write pre { width: inherit; }
|
|
#write p, #write h1, #write h2, #write h3, #write h4, #write h5, #write h6 { position: relative; }
|
|
h1 { font-size: 2rem; }
|
|
h2 { font-size: 1.8rem; }
|
|
h3 { font-size: 1.6rem; }
|
|
h4 { font-size: 1.4rem; }
|
|
h5 { font-size: 1.2rem; }
|
|
h6 { font-size: 1rem; }
|
|
p { -webkit-margin-before: 1rem; -webkit-margin-after: 1rem; -webkit-margin-start: 0px; -webkit-margin-end: 0px; }
|
|
.typora-export p { white-space: normal; }
|
|
.mathjax-block { margin-top: 0px; margin-bottom: 0px; -webkit-margin-before: 0rem; -webkit-margin-after: 0rem; }
|
|
.hidden { display: none; }
|
|
.md-blockmeta { color: rgb(204, 204, 204); font-weight: bold; font-style: italic; }
|
|
a { cursor: pointer; }
|
|
sup.md-footnote { padding: 2px 4px; background-color: rgba(238, 238, 238, 0.701961); color: rgb(85, 85, 85); border-radius: 4px; }
|
|
#write input[type="checkbox"] { cursor: pointer; width: inherit; height: inherit; margin: 4px 0px 0px; }
|
|
tr { break-inside: avoid; break-after: auto; }
|
|
thead { display: table-header-group; }
|
|
table { border-collapse: collapse; border-spacing: 0px; width: 100%; overflow: auto; break-inside: auto; text-align: left; }
|
|
table.md-table td { min-width: 80px; }
|
|
.CodeMirror-gutters { border-right: 0px; background-color: inherit; }
|
|
.CodeMirror { text-align: left; }
|
|
.CodeMirror-placeholder { opacity: 0.3; }
|
|
.CodeMirror pre { padding: 0px 4px; }
|
|
.CodeMirror-lines { padding: 0px; }
|
|
div.hr:focus { cursor: none; }
|
|
pre { white-space: pre-wrap; }
|
|
.CodeMirror-gutters { margin-right: 4px; }
|
|
.md-fences { font-size: 0.9rem; display: block; break-inside: avoid; text-align: left; overflow: visible; white-space: pre; background: var(--code-block-bg-color); position: relative !important; }
|
|
.md-diagram-panel { width: 100%; margin-top: 10px; text-align: center; padding-top: 0px; padding-bottom: 8px; overflow-x: auto; }
|
|
.md-fences .CodeMirror.CodeMirror-wrap { top: -1.6em; margin-bottom: -1.6em; }
|
|
.md-fences.mock-cm { white-space: pre-wrap; }
|
|
.show-fences-line-number .md-fences { padding-left: 0px; }
|
|
.show-fences-line-number .md-fences.mock-cm { padding-left: 40px; }
|
|
.footnotes { opacity: 0.8; font-size: 0.9rem; padding-top: 1em; padding-bottom: 1em; }
|
|
.footnotes + .footnotes { margin-top: -1em; }
|
|
.md-reset { margin: 0px; padding: 0px; border: 0px; outline: 0px; vertical-align: top; background: transparent; text-decoration: none; text-shadow: none; float: none; position: static; width: auto; height: auto; white-space: nowrap; cursor: inherit; -webkit-tap-highlight-color: transparent; line-height: normal; font-weight: normal; text-align: left; box-sizing: content-box; direction: ltr; }
|
|
li div { padding-top: 0px; }
|
|
blockquote { margin: 1rem 0px; }
|
|
li p, li .mathjax-block { margin: 0.5rem 0px; }
|
|
li { margin: 0px; position: relative; }
|
|
blockquote > :last-child { margin-bottom: 0px; }
|
|
blockquote > :first-child { margin-top: 0px; }
|
|
.footnotes-area { color: rgb(136, 136, 136); margin-top: 0.714rem; padding-bottom: 0.143rem; }
|
|
@media print {
|
|
html, body { border: 1px solid transparent; height: 99%; break-after: avoid; break-before: avoid; }
|
|
.typora-export * { -webkit-print-color-adjust: exact; }
|
|
h1, h2, h3, h4, h5, h6 { break-after: avoid-page; orphans: 2; }
|
|
p { orphans: 4; }
|
|
html.blink-to-pdf { font-size: 13px; }
|
|
.typora-export #write { padding-left: 1cm; padding-right: 1cm; padding-bottom: 0px; break-after: avoid; }
|
|
.typora-export #write::after { height: 0px; }
|
|
@page { margin: 20mm 0mm; }
|
|
}
|
|
.footnote-line { margin-top: 0.714em; font-size: 0.7em; }
|
|
a img, img a { cursor: pointer; }
|
|
pre.md-meta-block { font-size: 0.8rem; min-height: 2.86rem; white-space: pre-wrap; background: rgb(204, 204, 204); display: block; overflow-x: hidden; }
|
|
p .md-image:only-child { display: inline-block; width: 100%; text-align: center; }
|
|
#write .MathJax_Display { margin: 0.8em 0px 0px; }
|
|
.mathjax-block { white-space: pre; overflow: hidden; width: 100%; }
|
|
p + .mathjax-block { margin-top: -1.143rem; }
|
|
.mathjax-block:not(:empty)::after { display: none; }
|
|
[contenteditable="true"]:active, [contenteditable="true"]:focus { outline: none; box-shadow: none; }
|
|
.task-list { list-style-type: none; }
|
|
.task-list-item { position: relative; padding-left: 1em; }
|
|
.task-list-item input { position: absolute; top: 0px; left: 0px; }
|
|
.math { font-size: 1rem; }
|
|
.md-toc { min-height: 3.58rem; position: relative; font-size: 0.9rem; border-radius: 10px; }
|
|
.md-toc-content { position: relative; margin-left: 0px; }
|
|
.md-toc::after, .md-toc-content::after { display: none; }
|
|
.md-toc-item { display: block; color: rgb(65, 131, 196); }
|
|
.md-toc-item a { text-decoration: none; }
|
|
.md-toc-inner:hover { }
|
|
.md-toc-inner { display: inline-block; cursor: pointer; }
|
|
.md-toc-h1 .md-toc-inner { margin-left: 0px; font-weight: bold; }
|
|
.md-toc-h2 .md-toc-inner { margin-left: 2em; }
|
|
.md-toc-h3 .md-toc-inner { margin-left: 4em; }
|
|
.md-toc-h4 .md-toc-inner { margin-left: 6em; }
|
|
.md-toc-h5 .md-toc-inner { margin-left: 8em; }
|
|
.md-toc-h6 .md-toc-inner { margin-left: 10em; }
|
|
@media screen and (max-width: 48em) {
|
|
.md-toc-h3 .md-toc-inner { margin-left: 3.5em; }
|
|
.md-toc-h4 .md-toc-inner { margin-left: 5em; }
|
|
.md-toc-h5 .md-toc-inner { margin-left: 6.5em; }
|
|
.md-toc-h6 .md-toc-inner { margin-left: 8em; }
|
|
}
|
|
a.md-toc-inner { font-size: inherit; font-style: inherit; font-weight: inherit; line-height: inherit; }
|
|
.footnote-line a:not(.reversefootnote) { color: inherit; }
|
|
.md-attr { display: none; }
|
|
.md-fn-count::after { content: "."; }
|
|
.md-tag { opacity: 0.5; }
|
|
.md-comment { color: rgb(162, 127, 3); opacity: 0.8; font-family: monospace; }
|
|
code { text-align: left; }
|
|
h1 .md-tag, h2 .md-tag, h3 .md-tag, h4 .md-tag, h5 .md-tag, h6 .md-tag { font-weight: initial; opacity: 0.35; }
|
|
a.md-print-anchor { border-width: initial !important; border-style: none !important; border-color: initial !important; display: inline-block !important; position: absolute !important; width: 1px !important; right: 0px !important; outline: none !important; background: transparent !important; text-decoration: initial !important; text-shadow: initial !important; }
|
|
.md-inline-math .MathJax_SVG .noError { display: none !important; }
|
|
.mathjax-block .MathJax_SVG_Display { text-align: center; margin: 1em 0em; position: relative; text-indent: 0px; max-width: none; max-height: none; min-height: 0px; min-width: 100%; width: auto; display: block !important; }
|
|
.MathJax_SVG_Display, .md-inline-math .MathJax_SVG_Display { width: auto; margin: inherit; display: inline-block !important; }
|
|
.MathJax_SVG .MJX-monospace { font-family: monospace; }
|
|
.MathJax_SVG .MJX-sans-serif { font-family: sans-serif; }
|
|
.MathJax_SVG { display: inline; font-style: normal; font-weight: normal; line-height: normal; zoom: 90%; text-indent: 0px; text-align: left; text-transform: none; letter-spacing: normal; word-spacing: normal; word-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border: 0px; padding: 0px; margin: 0px; }
|
|
.MathJax_SVG * { transition: none; }
|
|
.md-diagram-panel > svg { max-width: 100%; }
|
|
[lang="flow"] svg, [lang="mermaid"] svg { max-width: 100%; }
|
|
|
|
|
|
:root { --side-bar-bg-color: #fafafa; --control-text-color: #777; }
|
|
@font-face { font-family: "Open Sans"; font-style: normal; font-weight: normal; src: local("Open Sans Regular"), url("./github/400.woff") format("woff"); }
|
|
@font-face { font-family: "Open Sans"; font-style: italic; font-weight: normal; src: local("Open Sans Italic"), url("./github/400i.woff") format("woff"); }
|
|
@font-face { font-family: "Open Sans"; font-style: normal; font-weight: bold; src: local("Open Sans Bold"), url("./github/700.woff") format("woff"); }
|
|
@font-face { font-family: "Open Sans"; font-style: italic; font-weight: bold; src: local("Open Sans Bold Italic"), url("./github/700i.woff") format("woff"); }
|
|
html { font-size: 16px; }
|
|
body { font-family: "Open Sans", "Clear Sans", "Helvetica Neue", Helvetica, Arial, sans-serif; color: rgb(51, 51, 51); line-height: 1.6; }
|
|
#write { max-width: 860px; margin: 0px auto; padding: 20px 30px 100px; }
|
|
#write > ul:first-child, #write > ol:first-child { margin-top: 30px; }
|
|
body > :first-child { margin-top: 0px !important; }
|
|
body > :last-child { margin-bottom: 0px !important; }
|
|
a { color: rgb(65, 131, 196); }
|
|
h1, h2, h3, h4, h5, h6 { position: relative; margin-top: 1rem; margin-bottom: 1rem; font-weight: bold; line-height: 1.4; cursor: text; }
|
|
h1:hover a.anchor, h2:hover a.anchor, h3:hover a.anchor, h4:hover a.anchor, h5:hover a.anchor, h6:hover a.anchor { text-decoration: none; }
|
|
h1 tt, h1 code { font-size: inherit; }
|
|
h2 tt, h2 code { font-size: inherit; }
|
|
h3 tt, h3 code { font-size: inherit; }
|
|
h4 tt, h4 code { font-size: inherit; }
|
|
h5 tt, h5 code { font-size: inherit; }
|
|
h6 tt, h6 code { font-size: inherit; }
|
|
h1 { padding-bottom: 0.3em; font-size: 2.25em; line-height: 1.2; border-bottom: 1px solid rgb(238, 238, 238); }
|
|
h2 { padding-bottom: 0.3em; font-size: 1.75em; line-height: 1.225; border-bottom: 1px solid rgb(238, 238, 238); }
|
|
h3 { font-size: 1.5em; line-height: 1.43; }
|
|
h4 { font-size: 1.25em; }
|
|
h5 { font-size: 1em; }
|
|
h6 { font-size: 1em; color: rgb(119, 119, 119); }
|
|
p, blockquote, ul, ol, dl, table { margin: 0.8em 0px; }
|
|
li > ol, li > ul { margin: 0px; }
|
|
hr { height: 4px; padding: 0px; margin: 16px 0px; background-color: rgb(231, 231, 231); border-width: 0px 0px 1px; border-style: none none solid; border-top-color: initial; border-right-color: initial; border-left-color: initial; border-image: initial; overflow: hidden; box-sizing: content-box; border-bottom-color: rgb(221, 221, 221); }
|
|
body > h2:first-child { margin-top: 0px; padding-top: 0px; }
|
|
body > h1:first-child { margin-top: 0px; padding-top: 0px; }
|
|
body > h1:first-child + h2 { margin-top: 0px; padding-top: 0px; }
|
|
body > h3:first-child, body > h4:first-child, body > h5:first-child, body > h6:first-child { margin-top: 0px; padding-top: 0px; }
|
|
a:first-child h1, a:first-child h2, a:first-child h3, a:first-child h4, a:first-child h5, a:first-child h6 { margin-top: 0px; padding-top: 0px; }
|
|
h1 p, h2 p, h3 p, h4 p, h5 p, h6 p { margin-top: 0px; }
|
|
li p.first { display: inline-block; }
|
|
ul, ol { padding-left: 30px; }
|
|
ul:first-child, ol:first-child { margin-top: 0px; }
|
|
ul:last-child, ol:last-child { margin-bottom: 0px; }
|
|
blockquote { border-left: 4px solid rgb(221, 221, 221); padding: 0px 15px; color: rgb(119, 119, 119); }
|
|
blockquote blockquote { padding-right: 0px; }
|
|
table { padding: 0px; word-break: initial; }
|
|
table tr { border-top: 1px solid rgb(204, 204, 204); margin: 0px; padding: 0px; }
|
|
table tr:nth-child(2n) { background-color: rgb(248, 248, 248); }
|
|
table tr th { font-weight: bold; border: 1px solid rgb(204, 204, 204); text-align: left; margin: 0px; padding: 6px 13px; }
|
|
table tr td { border: 1px solid rgb(204, 204, 204); text-align: left; margin: 0px; padding: 6px 13px; }
|
|
table tr th:first-child, table tr td:first-child { margin-top: 0px; }
|
|
table tr th:last-child, table tr td:last-child { margin-bottom: 0px; }
|
|
.CodeMirror-gutters { border-right: 1px solid rgb(221, 221, 221); }
|
|
.md-fences, code, tt { border: 1px solid rgb(221, 221, 221); background-color: rgb(248, 248, 248); border-radius: 3px; font-family: Consolas, "Liberation Mono", Courier, monospace; padding: 2px 4px 0px; font-size: 0.9em; }
|
|
.md-fences { margin-bottom: 15px; margin-top: 15px; padding: 8px 1em 6px; }
|
|
.task-list { padding-left: 0px; }
|
|
.task-list-item { padding-left: 32px; }
|
|
.task-list-item input { top: 3px; left: 8px; }
|
|
@media screen and (min-width: 914px) {
|
|
}
|
|
@media print {
|
|
html { font-size: 13px; }
|
|
table, pre { break-inside: avoid; }
|
|
pre { word-wrap: break-word; }
|
|
}
|
|
.md-fences { background-color: rgb(248, 248, 248); }
|
|
#write pre.md-meta-block { padding: 1rem; font-size: 85%; line-height: 1.45; background-color: rgb(247, 247, 247); border: 0px; border-radius: 3px; color: rgb(119, 119, 119); margin-top: 0px !important; }
|
|
.mathjax-block > .code-tooltip { bottom: 0.375rem; }
|
|
#write > h3.md-focus::before { left: -1.5625rem; top: 0.375rem; }
|
|
#write > h4.md-focus::before { left: -1.5625rem; top: 0.285714rem; }
|
|
#write > h5.md-focus::before { left: -1.5625rem; top: 0.285714rem; }
|
|
#write > h6.md-focus::before { left: -1.5625rem; top: 0.285714rem; }
|
|
.md-image > .md-meta { border: 1px solid rgb(221, 221, 221); border-radius: 3px; font-family: Consolas, "Liberation Mono", Courier, monospace; padding: 2px 4px 0px; font-size: 0.9em; color: inherit; }
|
|
.md-tag { color: inherit; }
|
|
.md-toc { margin-top: 20px; padding-bottom: 20px; }
|
|
.sidebar-tabs { border-bottom: none; }
|
|
#typora-quick-open { border: 1px solid rgb(221, 221, 221); background-color: rgb(248, 248, 248); }
|
|
#typora-quick-open-item { background-color: rgb(250, 250, 250); border-color: rgb(254, 254, 254) rgb(229, 229, 229) rgb(229, 229, 229) rgb(238, 238, 238); border-style: solid; border-width: 1px; }
|
|
#md-notification::before { top: 10px; }
|
|
.on-focus-mode blockquote { border-left-color: rgba(85, 85, 85, 0.117647); }
|
|
header, .context-menu, .megamenu-content, footer { font-family: "Segoe UI", Arial, sans-serif; }
|
|
.file-node-content:hover .file-node-icon, .file-node-content:hover .file-node-open-state { visibility: visible; }
|
|
.mac-seamless-mode #typora-sidebar { background-color: var(--side-bar-bg-color); }
|
|
.md-lang { color: rgb(180, 101, 77); }
|
|
|
|
|
|
|
|
|
|
|
|
|
|
</style>
|
|
</head>
|
|
<body class='typora-export' >
|
|
<div id='write' class = 'is-node'><h1><a name='header-n0' class='md-header-anchor '></a>Cluster Analysis Spring 2018</h1><h3><a name='header-n72' class='md-header-anchor '></a>Distance, Dimensionality Reduction, and Tendency</h3><ul><li><p>Distance</p><ul><li>Euclidean Distance</li><li>Squared Euclidean Distance</li><li>Manhattan Distance</li><li>Maximum Distance</li><li>Mahalanobis Distance</li></ul></li><li><p>Which distance function should you use?</p></li><li><p>PCA</p></li><li><p>Cluster Tendency</p><ul><li>Hopkins Statistic</li></ul></li><li><p>Scaling Data</p></li></ul><h3><a name='header-n109' class='md-header-anchor '></a>Validating Clustering Models</h3><ul><li>Clustering Validation</li><li>Cross Validation</li></ul><h3><a name='header-n117' class='md-header-anchor '></a>Connectivity Models</h3><ul><li><p>Agglomerative Clustering</p><ul><li>Single Linkage Clustering</li><li>Complete Linkage Clustering</li><li>Unweighted Pair Group Method with Arithmetic Mean (If time permits)</li></ul></li><li><p>Dendrograms</p></li><li><p>Divisive Clustering</p></li><li><p>CURE (Clustering using REpresentatives) algorithm (If time permits)</p></li></ul><h3><a name='header-n141' class='md-header-anchor '></a>Cluster Evaluation</h3><ul><li><p>Internal Evaluation</p><ul><li>Dunn Index</li><li>Silhouette Coefficient</li><li>Davies-Bouldin Index (If time permits)</li></ul></li><li><p>External Evaluation</p><ul><li>Rand Measure</li><li>Jaccard Index</li><li>Dice Index</li><li>Confusion Matrix</li><li>F Measure (If time permits)</li><li>Fowlkes-Mallows Index (If time permits)</li></ul></li></ul><h3><a name='header-n178' class='md-header-anchor '></a>Centroid Models</h3><ul><li>Jenks Natural Breaks Optimization</li><li>Voronoi Diagram</li><li>K means clustering</li><li>K medoids clustering</li><li>K Medians/Modes clustering</li><li>When to use K means as opposed to K medoids or K Medians?</li><li>How many clusters should you use?</li><li>Lloyd's Algorithm for Approximating K-means (If time permits)</li></ul><h3><a name='header-n204' class='md-header-anchor '></a>Density Models</h3><ul><li>DBSCAN Density Based Clustering Algorithm</li><li>OPTICS Ordering Points To Identify the Clustering Structure</li><li>DeLi-Clu Density Link Clustering (If time permits)</li><li>What should be your density threshold?</li></ul><h3><a name='header-n218' class='md-header-anchor '></a>Analysis of Model Appropriateness</h3><ul><li>When do we use each of the models above?</li></ul><h3><a name='header-n223' class='md-header-anchor '></a>Distribution Models (If time permits)</h3><ul><li>Fuzzy Clusters</li><li>EM (Expectation Maximization) Clustering</li><li>Maximum Likelihood Gaussian</li><li>Probabilistic Hierarchal Clustering</li></ul><p></p><h2><a name='header-n239' class='md-header-anchor '></a>Textbooks</h2><p>Cluster Analysis 5th Edition</p><ul><li>Authors: Brian S. Everitt, Sabine Landau, Morven Leese, Daniel Stahl</li><li>ISBN-13: 978-0470749913</li><li>Cost: Free on UMW Library Site</li><li>Amazon Link: <a href='https://www.amazon.com/Cluster-Analysis-Brian-S-Everitt/dp/0470749911/ref=sr_1_1?ie=UTF8&qid=1509135983&sr=8-1' target='_blank' >https://www.amazon.com/Cluster-Analysis-Brian-S-Everitt/dp/0470749911/ref=sr_1_1?ie=UTF8&qid=1509135983&sr=8-1</a></li><li>Table of Contents: <a href='http://www.wiley.com/WileyCDA/WileyTitle/productCd-EHEP002266.html' target='_blank' >http://www.wiley.com/WileyCDA/WileyTitle/productCd-EHEP002266.html</a></li></ul><p>Cluster Analysis: 2014 Edition (Statistical Associates Blue Book Series 24) <br/></p><ul><li>Author: David Garson</li><li>ISBN: 978-1-62638-030-1</li><li>Cost: Free with Site Registration</li><li>Website: <a href='http://www.statisticalassociates.com/clusteranalysis.htm' target='_blank' >http://www.statisticalassociates.com/clusteranalysis.htm</a></li></ul><h2><a name='header-n276' class='md-header-anchor '></a>Schedule</h2><p>In an ideal world, the topics below I estimated being a certain time period for learning them. Of course you have more experience when it comes to how long it actually takes to learn these topics, so I'll leave this mostly to your discretion.</p><p><strong>Distance, Dimensionality Reduction, and Tendency</strong> -- 3 Weeks</p><p><strong>Validating Cluster Models</strong> -- 1 Week</p><p><strong>Connectivity Models</strong> -- 2 Weeks</p><p><strong>Cluster Evaluation</strong> -- 1 Week</p><p><strong>Centroid Models</strong> -- 3 Weeks</p><p><strong>Density Models</strong> -- 3 Weeks</p><p><strong>Analysis of Model Appropriateness</strong> -- 1 Week</p><p>The schedule above accounts for 14 weeks, so there is a week that is free as a buffer.</p><h2><a name='header-n295' class='md-header-anchor '></a>Conclusion</h2><p>Creating this document got me really excited for this independent study. Feel free to give me feedback :)</p></div>
|
|
</body>
|
|
</html> |