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JCSC
2010
49views more  JCSC 2010»
14 years 11 months ago
Emd Approach to Multichannel EEG Data - the amplitude and Phase Components Clustering Analysis
Tomasz M. Rutkowski, Danilo P. Mandic, Andrzej Cic...
128
Voted
EDM
2010
129views Data Mining» more  EDM 2010»
15 years 6 months ago
Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers
While students' skill set profiles can be estimated with formal cognitive diagnosis models [8], their computational complexity makes simpler proxy skill estimates attractive [...
Rebecca Nugent, Nema Dean, Elizabeth Ayers
ISPASS
2006
IEEE
15 years 11 months ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder
SIGIR
2004
ACM
15 years 10 months ago
Learning to cluster web search results
Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't g...
Hua-Jun Zeng, Qi-Cai He, Zheng Chen, Wei-Ying Ma, ...
152
Voted
COLT
2003
Springer
15 years 10 months ago
On Finding Large Conjunctive Clusters
We propose a new formulation of the clustering problem that differs from previous work in several aspects. First, the goal is to explicitly output a collection of simple and meani...
Nina Mishra, Dana Ron, Ram Swaminathan