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Abstract: A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that the final partitioning of data provides better clustering? The answer depends on the quality of clusterings to be combined as well as the properties of the fusion method. First, we introduce a unified representation for multiple clusterings and formulate the corresponding categorical clustering problem. As a result, we... (Update)
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BibTeX entry: (Update)
A. Topchy, A. Jain, and W. Punch. Combining Multiple Weak Clusterings. In The Third IEEE International Conference on Data Mining (ICDM'03), Melbourne, FL, November 2003. http://citeseer.ist.psu.edu/topchy03combining.html More
@misc{ topchy03combining,
author = "A. Topchy and A. Jain and W. Punch",
title = "Combining Multiple Weak Clusterings",
text = "A. Topchy, A. Jain, and W. Punch. Combining Multiple Weak Clusterings.
In The Third IEEE International Conference on Data Mining (ICDM'03), Melbourne,
FL, November 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/topchy03combining.html" }
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