Machine Learning and Its Application: A Quick Guide for Beginners

Unsupervised Machine Learning: Clustering

Author(s): Indranath Chatterjee *

Pp: 72-113 (42)

Doi: 10.2174/9781681089409121010006

* (Excluding Mailing and Handling)

Abstract

This chapter introduces the readers to clustering algorithms as a part of unsupervised machine learning algorithms. This chapter describes the state-of-theart clustering algorithms. This chapter gives an elaborative definition of k-mean clustering, hierarchical clustering, and self-organizing map. It also defines the algorithmic framework of each algorithm with hands-on examples with detailed Python codes and outputs.


Keywords: Machine Learning, Unsupervised Learning, Clustering, K-means Algorithm, Hierarchical Clustering, Self-organizing Map.

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