Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Word Clustering: Numerical Vector based Approaches

Word Clustering: Numerical Vector based Approaches

Jo, Taeho

Paperback

General Computers

ISBN13: 9798342602143
Publisher: Independently Published
Published: Oct 10 2024
Pages: 70
Weight: 0.23
Height: 0.15 Width: 6.00 Depth: 9.00
Language: English
This book is concerned with numerical vector-based machine learning algorithms which are applied to word clustering. The book is authored by collecting slides about the application of machine learning algorithms to word clustering; each page is given as a slide. This book is intended for ones who study applications of machine learning algorithms to word clustering and is composed of five sections. Word clustering is defined as the process of segmenting a word group into subgroups each of which contains semantically similar words; in this book, the scope is restricted to only semantic word clustering. This book covers the four machine learning algorithms, AHC Algorithm, K means algorithm, Linear Online Clustering Algorithm, and Divisive Algorithm, as approaches to word clustering.

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