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» An overview of clustering methods
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ML
2010
ACM
127views Machine Learning» more  ML 2010»
15 years 5 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
CASES
2003
ACM
15 years 12 months ago
Clustered calculation of worst-case execution times
Knowing the Worst-Case Execution Time (WCET) of a program is necessary when designing and verifying real-time systems. A correct WCET analysis method must take into account the po...
Andreas Ermedahl, Friedhelm Stappert, Jakob Engblo...
181
Voted
ICC
2007
IEEE
16 years 1 months ago
Locating Congested Segments on the Internet by Clustering the Delay Performance of Multiple Paths
— A practical method of locating congested segments on the Internet by periodic end-to-end packet delay measurements along multiple paths is presented. This method is a network t...
Atsuo Tachibana, Shigehiro Ano, Toru Hasegawa, Mas...
SSPR
2004
Springer
16 years 1 days ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja
ICCS
2003
Springer
15 years 12 months ago
Counting Polyominoes: A Parallel Implementation for Cluster Computing
The exact enumeration of most interesting combinatorial problems has exponential computational complexity. The finite-lattice method reduces this complexity for most two-dimension...
Iwan Jensen