Overview
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.
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Details
- ISBN-13: 9798313151106
- ISBN-10: 9798313151106
- Publisher: Independently Published
- Publish Date: March 2025
- Dimensions: 9 x 6 x 0.15 inches
- Shipping Weight: 0.23 pounds
- Page Count: 70
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