Text Clustering: Graph based Approaches

By Prof Taeho Jo

This book is concerned with graph-based machine learning algorithms which are applied to text clustering. The book is authored by collecting slides about the application of graph-based machine learning algorithms to text clustering; each page is given as a slide. This book is intended for people who study applications of graph-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 graph-based machine learning algorithms, Graph based AHC Algorithm, Graph-based K means algorithm, Graph based Linear Online Clustering Algorithm, and Graph based Divisive Algorithm, as approaches to text clustering.

• Format: Paperback
• Language: English
• ISBN: B0DZJ1V2G1
• ISBN13: 9798313151106
• Release Date: March 2025
• Publisher: Independently Published
• Length: 70 Pages
• Weight: 0.23 lbs.
• Dimensions: 0.1" x 6.0" x 9.0"