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Book synopsis

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.

Book details

• Full title: Text Clustering
• Subtitle: String Vector based Approaches
• Author: Taeho Jo
• Language: English
• Binding: Paperback
• Number of pages: 70
• EAN: 9798312478174
• ID: 50744056
• Publisher: Independently published
• Weight: 108 g
• Dimensions: 229 × 152 × 4 mm
• Date of publishing: 28. February 2025

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