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ICANN
2003
Springer
15 years 9 months ago
Expectation-MiniMax Approach to Clustering Analysis
Abstract. This paper proposes a general approach named ExpectationMiniMax (EMM) for clustering analysis without knowing the cluster number. It describes the contrast function of Ex...
Yiu-ming Cheung
UAI
2001
15 years 5 months ago
A Clustering Approach to Solving Large Stochastic Matching Problems
In this work we focus on efficient heuristics for solving a class of stochastic planning problems that arise in a variety of business, investment, and industrial applications. The...
Milos Hauskrecht, Eli Upfal
PDPTA
2003
15 years 5 months ago
Flexible Approximate String Matching Application on a Heterogeneous Distributed Environment
In this paper, we present three parallel flexible approximate string matching methods on a parallel architecture with heterogeneous workstations to gain supercomputer power at lo...
Panagiotis D. Michailidis, Konstantinos G. Margari...
CVPR
2006
IEEE
16 years 6 months ago
Graph Partitioning by Spectral Rounding: Applications in Image Segmentation and Clustering
ct We introduce a new family of spectral partitioning methods. Edge separators of a graph are produced by iteratively reweighting the edges until the graph disconnects into the pre...
David Tolliver, Gary L. Miller
HICSS
2008
IEEE
199views Biometrics» more  HICSS 2008»
15 years 10 months ago
Clustering and the Biclique Partition Problem
A technique for clustering data by common attribute values involves grouping rows and columns of a binary matrix to make the minimum number of submatrices all 1’s. As binary mat...
Doina Bein, Linda Morales, Wolfgang W. Bein, C. O....