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NIPS
2004
15 years 7 months ago
Self-Tuning Spectral Clustering
We study a number of open issues in spectral clustering: (i) Selecting the appropriate scale of analysis, (ii) Handling multi-scale data, (iii) Clustering with irregular backgroun...
Lihi Zelnik-Manor, Pietro Perona
NIPS
2003
15 years 7 months ago
Pairwise Clustering and Graphical Models
Significant progress in clustering has been achieved by algorithms that are based on pairwise affinities between the datapoints. In particular, spectral clustering methods have ...
Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss
WWW
2007
ACM
16 years 6 months ago
A new suffix tree similarity measure for document clustering
In this paper, we propose a new similarity measure to compute the pairwise similarity of text-based documents based on suffix tree document model. By applying the new suffix tree ...
Hung Chim, Xiaotie Deng
SDM
2007
SIAM
74views Data Mining» more  SDM 2007»
15 years 7 months ago
HACS: Heuristic Algorithm for Clustering Subsets
The term consideration set is used in marketing to refer to the set of items a customer thought about purchasing before making a choice. While consideration sets are not directly ...
Ding Yuan, W. Nick Street
ICCS
2007
Springer
15 years 11 months ago
Universal Execution of Parallel Processes: Penetrating NATs over the Grid
Today, clusters are very important computing resources and many computing centers manage their clusters in private networks. But parallel programs may not work in private clusters....
Insoon Jo, Hyuck Han, Heon Young Yeom, Ohkyoung Kw...