8. Cluster Analysis: The Basics

In This Chapter

Cluster Analysis, Discriminant Analysis, and Logistic Regression

Euclidean Distance

Finding Clusters: The Single Linkage Method

The Self-Selecting Nature of Cluster Analysis

Finding Clusters: The Complete Linkage Method

Finding Clusters: The K-means Method

Benchmarking K-means with R

Apart from the brief reviews of logistic regression and univariate ANOVA earlier in this book, all the types of decision analytics discussed so far are characterized by their multivariate nature: the use of several measured variables to derive a new composite such as a discriminant function or a principal component. The classification technique that this chapter and the next discuss is radically different. Instead ...

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