Survey of clustering algorithms
Neural Networks, IEEE Transactions on, 16 (3):
645--678 (2005)Abstract
Data analysis plays an indispensable role for understanding various
phenomena. Cluster analysis, primitive exploration with little or
no prior knowledge, consists of research developed across a wide
variety of communities. The diversity, on one hand, equips us with
many tools. On the other hand, the profusion of options causes confusion.
We survey clustering algorithms for data sets appearing in statistics,
computer science, and machine learning, and illustrate their applications
in some benchmark data sets, the traveling salesman problem, and
bioinformatics, a new field attracting intensive efforts. Several
tightly related topics, proximity measure, and cluster validation,
are also discussed.
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