Journal article
Quick shift and kernel methods for mode seeking
- Abstract:
-
We show that the complexity of the recently introduced medoid-shift algorithm in clustering N points is O(N 2), with a small constant, if the underlying distance is Euclidean. This makes medoid shift considerably faster than mean shift, contrarily to what previously believed. We then exploit kernel methods to extend both mean shift and the improved medoid shift to a large family of distances, with complexity bounded by the effective rank of the resulting kernel matrix...
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- Publisher copy:
- 10.1007/978-3-540-88693-8-52
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Bibliographic Details
- Journal:
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
- Volume:
- 5305 LNCS
- Issue:
- PART 4
- Pages:
- 705-718
- Publication date:
- 2008-01-01
- DOI:
- EISSN:
-
1611-3349
- ISSN:
-
0302-9743
- URN:
-
uuid:24d780fa-1f14-46e4-985b-278e6bcb4c3b
- Source identifiers:
-
293256
- Local pid:
- pubs:293256
Item Description
- Language:
- English
Terms of use
- Copyright date:
- 2008
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