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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/lec1.md
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# Measures of similarity
---
title: Measures of similarity
showthedate: false
math: true
---
To identify clusters of observations we need to know how **close individuals are to each other** or **how far apart they are**.
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Next, the choice of measure should depend on the scale of the data. Similarity coefficients should be used when the data is binary. For continuous data, distance of correlation-type dissimilarity measure should be used according to whether 'size' or 'shape' of the objects is of interest.
Finally, the clustering method to be used might have some implications for the choice of the coefficient. For example, making a choice between several proximity coefficients with similar properties which are also known to be monotonically related can be avoided by employing a cluster method that depends only on the ranking of the proximities, not their absolute values.
Finally, the clustering method to be used might have some implications for the choice of the coefficient. For example, making a choice between several proximity coefficients with similar properties which are also known to be monotonically related can be avoided by employing a cluster method that depends only on the ranking of the proximities, not their absolute values.