Cluster Analysis For Segmentation
Cluster Analysis for Segmentation is a statistical classification method that partitions a population into distinct subgroups based on attitudinal similarities, distinguishing itself by identifying naturally occurring clusters in consumer data to enable targeted segmentation strategies.
435
Publications
21.9K
Citations
1.3K
Authors
532
Institutions
Publications per year
2017–2026
175
Parents
435
Image segmentation by clustering
G.B. Coleman, Harry C. Andrews · Proceedings of the IEEE · 1979 · 573 citations
Alternatives to the k-means algorithm that find better clusterings
Greg Hamerly, Charles Elkan · 2002 · 425 citations · Full text
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University of Pennsylvania
Philadelphia, United States
6 h-index
10 publications
473 citations

Sidi Mohamed Ben Abdellah University
Fes, Morocco
4 h-index
12 publications
587 citations
Xi’an University of Posts and Telecommunications
Xi'an, China
4 h-index
7 publications
290 citations

Northwestern Polytechnical University
Xi'an, China
4 h-index
7 publications
134 citations
King Mongkut's Institute of Technology Ladkrabang
Bangkok, Thailand
4 h-index
10 publications
235 citations

Sapienza University of Rome
Rome, Italy
4 h-index
10 publications
458 citations

Xidian University
Xi'an, China
4 h-index
12 publications
629 citations

Indian Statistical Institute
Kolkata, India
3 h-index
6 publications
202 citations
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10 publications · 1.9K citations
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8 publications · 344 citations
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8 publications · 489 citations
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8 publications · 596 citations
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7 publications · 453 citations
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