Data Clustering

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Tác giả: Niansheng Tang

Ngôn ngữ: eng

ISBN-13: 978-1839698873

ISBN-13: 978-1839698880

ISBN-13: 978-1839698897

ISBN: intechopen.95124

Ký hiệu phân loại:

Thông tin xuất bản: IntechOpen 2022

Mô tả vật lý: 1 electronic resource (126 p.)

Bộ sưu tập: Tài liệu truy cập mở

ID: 372848

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.
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