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ICML
2006
IEEE
14 years 10 months ago
A new approach to data driven clustering
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
Arik Azran, Zoubin Ghahramani
PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
14 years 4 months ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...
TKDE
2008
175views more  TKDE 2008»
13 years 9 months ago
Efficient Phrase-Based Document Similarity for Clustering
Phrase has been considered as a more informative feature term for improving the effectiveness of document clustering. In this paper, we propose a phrase-based document similarity t...
Hung Chim, Xiaotie Deng
IPPS
2007
IEEE
14 years 4 months ago
Improving Secure Communication Policy Agreements by Building Coalitions
In collaborative applications, participants agree on certain level of secure communication based on communication policy speciļ¬cations. Given secure communication policy speciļ¬...
Srilaxmi Malladi, Sushil K. Prasad, Shamkant B. Na...
CLUSTER
2010
IEEE
13 years 7 months ago
Harnessing parallelism in multicore clusters with the All-Pairs, Wavefront, and Makeflow abstractions
All-Pairs, Wavefront, and Makeflow Abstractions Li Yu
Li Yu, Christopher Moretti, Andrew Thrasher, Scott...