Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	August 2022
Genre:	EDV / Informatik
ISBN:	9781839698873
EAN-Code:	9781839698873
Verlag:	IntechOpen
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 266 mm / B 185 mm / D 14 mm
Gewicht:	494 gr
Seiten:	126
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.