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127
Voted
CSDA
2007
15 years 5 months ago
2007
An original method is proposed for spatial cluster detection of case event data. A selection order and the distance from the nearest neighbour are attributed to each point, once p...
266
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AIPRF
2008
15 years 6 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...
128
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ICPR
2008
IEEE
16 years 6 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...
115
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WWW
2007
ACM
16 years 5 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...
113
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DANCE
2002
IEEE
15 years 10 months ago
2002
IEEE
Panda is middleware designed to bring the benefits of active networks to applications not written with active networks in mind. This paper describes the architecture and implement...