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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
USENIX
2000
15 years 7 months ago
MOSIX: How Linux Clusters Solve Real-World Problems
As the complexity of software increases, the size of the software tends to increase as well, which incurs longer compilation and build cycles. In this paper, the authors present o...
Steve McClure, Richard Wheeler
SIGPRO
2008
74views more  SIGPRO 2008»
15 years 6 months ago
Speaker segmentation and clustering
This survey focuses on two challenging speech processing topics, namely: speaker segmentation and speaker clustering. Speaker segmentation aims at finding speaker change points in...
Margarita Kotti, Vassiliki Moschou, Constantine Ko...
ML
2002
ACM
128views Machine Learning» more  ML 2002»
15 years 6 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
SADM
2008
165views more  SADM 2008»
15 years 6 months ago
Global Correlation Clustering Based on the Hough Transform
: In this article, we propose an efficient and effective method for finding arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set o...
Elke Achtert, Christian Böhm, Jörn David...