Data Clustering

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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
अन्य लेखक: Tang, Niansheng (संपादक)
स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
भाषा:अंग्रेज़ी
प्रकाशित: IntechOpen 2022
श्रृंखला:Artificial Intelligence 10
विषय:
ऑनलाइन पहुंच:DOAB: download the publication
DOAB: description of the publication
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विवरण
सारांश: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.
भौतिक वर्णन:1 electronic resource (126 p.)
आईएसबीएन:intechopen.95124
9781839698880
9781839698873
9781839698897
अभिगमन:Open Access