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» Clustering for metric and nonmetric distance measures
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TALG
2010
158views more  TALG 2010»
13 years 2 months ago
Clustering for metric and nonmetric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
Marcel R. Ackermann, Johannes Blömer, Christi...
SODA
2008
ACM
200views Algorithms» more  SODA 2008»
13 years 8 months ago
Clustering for metric and non-metric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P, our goal is to find a set C of size k such that the s...
Marcel R. Ackermann, Johannes Blömer, Christi...
SISAP
2010
IEEE
159views Data Mining» more  SISAP 2010»
13 years 5 months ago
CP-index: using clustering and pivots for indexing non-metric spaces
Most multimedia information retrieval systems use an indexing scheme to speed up similarity search. The index aims to discard large portions of the data collection at query time. ...
Victor Sepulveda, Benjamin Bustos
ICCV
1998
IEEE
13 years 11 months ago
Condensing Image Databases when Retrieval is Based on Non-Metric Distances
One of the key problems in appearance-based vision is understanding how to use a set of labeled images to classify new images. Classification systems that can model human performa...
David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu
PVLDB
2010
121views more  PVLDB 2010»
13 years 2 months ago
Efficient RkNN Retrieval with Arbitrary Non-Metric Similarity Measures
A RkNN query returns all objects whose nearest k neighbors contain the query object. In this paper, we consider RkNN query processing in the case where the distances between attri...
Deepak P, Prasad Deshpande