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ICANN
2003
Springer
15 years 3 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
14 years 11 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
14 years 11 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
15 years 12 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 4 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....