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Fixed titles, math rendering, and links on some pages

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Brandon Rozek 2021-07-26 09:13:20 -04:00
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content/research/clusteranalysis/notes/lec7.md
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@ -1,4 +1,8 @@
# Divisive Methods Pt.1
---
title: Divisive Methods Pt.1
showthedate: false
math: true
---
Divisive methods work in the opposite direction of agglomerative methods. They take one large cluster and successively splits it.
@ -39,7 +43,7 @@ This is sometimes termed *association analysis*.
| 1 | a | b |
| 0 | c | d |
####Common measures of association
#### Common measures of association
$$
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@ -71,4 +75,4 @@ Appealing features of monothetic divisive methods are the easy classification of
A further advantage of monothetic divisive methods is that it is obvious which variables produce the split at any stage of the process.
A disadvantage with these methods is that the possession of a particular attribute which is either rare or rarely found in combination with others may take an individual down a different path.
A disadvantage with these methods is that the possession of a particular attribute which is either rare or rarely found in combination with others may take an individual down a different path.