Data clustering: 50 years beyond K-means
Abstract
Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organisms into a system of ranked taxa: domain, kingdom, phylum, class, etc. Cluster analysis is the formal study of methods and algorithms for grouping, or clustering, objects according to measured or perceived intrinsic characteristics or similarity. Cluster analysis does...
Paper Details
Title
Data clustering: 50 years beyond K-means
Published Date
Jun 1, 2010
Journal
Volume
31
Issue
8
Pages
651 - 666
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