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Text Clustering Graph Based Approaches - TAEHO. JO

English
2025-03-06
€71.32 €89.15

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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 sect ... Full description

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Description

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.

More Information

Author TAEHO. JO
Publisher Amazon Digital Services LLC - Kdp
Release year 2025
Cover type Softcover
EAN 9798313151106
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€71.32 €89.15