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What is Overview of Cluster Analysis Techniques about?

Cluster analysis is an unsupervised machine learning technique used to group similar objects together. It can be applied in various domains like understanding customer behavior, identifying new product opportunities, selecting test markets, and reducing large datasets. There are two main types of cluster analysis: K-means clustering which partitions data into K number of clusters based on minimizing distance between data points and centroids, and hierarchical clustering which creates nested clusters based o

Author

Kshitij Tamrakar

Language

EN