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NAACL
2003
13 years 8 months ago
Automatically Discovering Word Senses
We will demonstrate the output of a distributional clustering algorithm called Clustering by Committee that automatically discovers
Patrick Pantel, Dekang Lin
CORR
2007
Springer
120views Education» more  CORR 2007»
13 years 7 months ago
Random subcubes as a toy model for constraint satisfaction problems
We present an exactly solvable random-subcube model inspired by the structure of hard constraint satisfaction and optimization problems. Our model reproduces the structure of the s...
Thierry Mora, Lenka Zdeborová
IBPRIA
2003
Springer
14 years 18 days ago
Incrementally Assessing Cluster Tendencies with a Maximum Variance Cluster Algorithm
A straightforward and efficient way to discover clustering tendencies in data using a recently proposed Maximum Variance Clustering algorithm is proposed. The approach shares the ...
Krzysztof Rzadca, Francesc J. Ferri
FLAIRS
2004
13 years 8 months ago
Multimodal Function Optimization Using Local Ruggedness Information
In multimodal function optimization, niching techniques create diversification within the population, thus encouraging heterogeneous convergence. The key to the effective diversif...
Jian Zhang 0007, Xiaohui Yuan, Bill P. Buckles
UAI
2004
13 years 8 months ago
Similarity-Driven Cluster Merging Method for Unsupervised Fuzzy Clustering
In this paper, a similarity-driven cluster merging method is proposed for unsupervised fuzzy clustering. The cluster merging method is used to resolve the problem of cluster valid...
Xuejian Xiong, Kap Luk Chan