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Book synopsis

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.

Book details

• Full title: Text Clustering
• Subtitle: Graph based Approaches
• Author: Taeho Jo
• Language: English
• Binding: Paperback
• Number of pages: 70
• EAN: 9798313151106
• ID: 50747722
• Publisher: Independently published
• Weight: 108 g
• Dimensions: 229 × 152 × 4 mm
• Date of publishing: 06. March 2025

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