Data Clustering

Data Clustering.jpg

Dublin Core

Title

Data Clustering

Subject

Data mining

Description

In view of the considerable applications of data clustering techniques in various fields, such as engineering, artificial intelligence, machine learning, clinical medicine, biology, ecology, disease diagnosis, and business marketing, many data clustering algorithms and methods have been developed to deal with complicated data. These techniques include supervised learning methods and unsupervised learning methods such as density-based clustering, K-means clustering, and K-nearest neighbor clustering. This book reviews recently developed data clustering techniques and algorithms and discusses the development of data clustering, including measures of similarity or dissimilarity for data clustering, data clustering algorithms, assessment of clustering algorithms, and data clustering methods recently developed for insurance, psychology, pattern recognition, and survey data.

Creator

Tang, Niansheng (editor)

Source

https://directory.doabooks.org/handle/20.500.12854/97038

Publisher

Publisher: IntechOpen
Publisher website: https://www.intechopen.com/

Date

2022

Contributor

Tatik

Rights

https://creativecommons.org/licenses/by/3.0/

Format

Pdf

Language

English

Type

Textbooks

Identifier

DOI: 10.5772/intechopen.95124
Webshop link: https://www.intechopen.com/boo ...
ISBN: 9781839698880, 9781839698873, 9781839698897

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