17390 search results - page 197 / 3478 » Distributed Data Clustering |
134
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NCI
2004
15 years 3 months ago
2004
This paper presents a new semi-competitive learning paradigm named Competitive and Cooperative Learning (CCL), in which seed points not only compete each other for updating to ada...
216
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AIPRF
2008
15 years 3 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...
WWW
2007
ACM
16 years 2 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...
124
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ACPC
1999
Springer
15 years 6 months ago
1999
Springer
We present a software-based parallel MPEG-2 video encoder implemented on a cluster of workstations connected via an ATM switch and also via Ethernet. We exploit parallelism on a Gr...
104
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ESANN
2004
15 years 3 months ago
2004
Abstract. Bayesian approaches to density estimation and clustering using mixture distributions allow the automatic determination of the number of components in the mixture. Previou...