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154
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CVPR
2009
IEEE
16 years 7 months ago
Constrained Clustering via Spectral Regularization
We propose a novel framework for constrained spectral clustering with pairwise constraints which specify whether two objects belong to the same cluster or not. Unlike previous m...
Zhenguo Li (The Chinese University of Hong Kong), ...
92
Voted
ICALP
2005
Springer
15 years 6 months ago
Linear Time Algorithms for Clustering Problems in Any Dimensions
Abstract. We generalize the k-means algorithm presented by the authors [14] and show that the resulting algorithm can solve a larger class of clustering problems that satisfy certa...
Amit Kumar, Yogish Sabharwal, Sandeep Sen
ICRA
1999
IEEE
97views Robotics» more  ICRA 1999»
15 years 4 months ago
Clustering of Qualitative Contact States for a Transmission Assembly
Current manufacturing methods for robotic-controlled assembly rely on accurate positioning to ensure task completion, often through the use of special xtures and precise calibrati...
Marjorie Skubic, Benjamin Forrester, Brent Nowak
85
Voted
CCGRID
2004
IEEE
15 years 4 months ago
High performance LU factorization for non-dedicated clusters
This paper describes an implementation of parallel LU factorization. The focus is to achieve high performance on non-dedicated clusters, where the number of available computing re...
Toshio Endo, Kenji Kaneda, Kenjiro Taura, Akinori ...
122
Voted
COLOGNETWENTE
2010
14 years 9 months ago
A Branch-and-price Approach to the k-Clustering Minimum Biclique Completion Problem
Given a bipartite graph G = (S, T, E), we consider the problem of finding k bipartite subgraphs, called "clusters", such that each vertex i of S appears in exactly one o...
Stefano Gualandi, Francesco Maffioli, Claudio Magn...