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What is Understanding Cluster Analysis Techniques about?
This document discusses cluster analysis, an unsupervised machine learning technique used to segment customer bases or markets into homogeneous groups. It provides an overview of the key steps in cluster analysis: 1) selecting clustering variables, 2) choosing a clustering procedure such as hierarchical, partitioning (k-means), or two-step clustering, and 3) interpreting the results by profiling and labeling the clusters. An example is given demonstrating a simple cluster analysis with hypothetical customer
- Author
- gopi
- Language
- EN