5209 search results - page 47 / 1042 » Multiobjective Data Clustering |
234
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AIPRF
2008
15 years 4 months ago
2008
Despite outstanding successes of the state-of-the-art clustering algorithms, many of them still suffer from shortcomings. Mainly, these algorithms do not capture coherency and homo...
111
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ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
We present a new L1-distance-based k-means clustering algorithm to address the challenge of clustering high-dimensional proportional vectors. The new algorithm explicitly incorpor...
WWW
2007
ACM
16 years 3 months ago
2007
ACM
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
136
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EDBT
2004
ACM
16 years 3 months ago
2004
ACM
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
111
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ML
2006
ACM
15 years 3 months ago
2006
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...