Overview

This book is concerned with string vector-based machine learning algorithms which are applied to text clustering. The book is authored by collecting slides about the application of string vector-based machine learning algorithms to text clustering; each page is given as a slide. This book is intended for people who study application of string vector-based machine learning algorithms to text clustering and is composed of five sections. Text clustering is defined as the process of segmenting a group of texts into subgroups each of which contains content based similar texts. This book covers four string vector-based machine learning algorithms, String vector based AHC Algorithm, String vector-based K means algorithm, String vector based Linear Online Clustering Algorithm, and String vector based Divisive Algorithm, as approaches to text clustering.

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