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Survey of clustering algorithms

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2 Author(s)
Rui Xu ; Dept. of Electr. & Comput. Eng., Univ. of Missouri-Rolla, Rolla, MO, USA ; Wunsch, D., II

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.

Published in:

Neural Networks, IEEE Transactions on  (Volume:16 ,  Issue: 3 )

Date of Publication:

May 2005

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