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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Details
- ISBN-13: 9798312478174
- ISBN-10: 9798312478174
- Publisher: Independently Published
- Publish Date: February 2025
- Dimensions: 9 x 6 x 0.15 inches
- Shipping Weight: 0.23 pounds
- Page Count: 70
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