127 search results - page 5 / 26 » A new Mallows distance based metric for comparing clustering... |
89
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ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
104
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PKDD
2010
Springer
14 years 7 months ago
2010
Springer
As an alternative to vector representations, a recent trend in image classification suggests to integrate additional structural information in the description of images in order to...
67
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IEEECIT
2005
IEEE
15 years 3 months ago
2005
IEEE
Similarity search leveraging distance-based index structures is increasingly being used for complex data types. It has been shown that for high dimensional uniform vectors with si...
STACS
2007
Springer
15 years 3 months ago
2007
Springer
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
SODA
2003
ACM
14 years 10 months ago
2003
ACM
—A new class of distances appropriate for measuring similarity relations between sequences, say one type of similarity per distance, is studied. We propose a new “normalized in...