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ESA
2003
Springer
123views Algorithms» more  ESA 2003»
15 years 2 months ago
Experiments on Graph Clustering Algorithms
A promising approach to graph clustering is based on the intuitive notion of intra-cluster density vs. inter-cluster sparsity. While both formalizations and algorithms focusing on ...
Ulrik Brandes, Marco Gaertler, Dorothea Wagner
WEBI
2005
Springer
15 years 3 months ago
Improving Web Clustering by Cluster Selection
Web page clustering is a technology that puts semantically related web pages into groups and is useful for categorizing, organizing, and refining search results. When clustering ...
Daniel Crabtree, Xiaoying Gao, Peter Andreae
ACL
2008
14 years 11 months ago
Distributed Word Clustering for Large Scale Class-Based Language Modeling in Machine Translation
In statistical language modeling, one technique to reduce the problematic effects of data sparsity is to partition the vocabulary into equivalence classes. In this paper we invest...
Jakob Uszkoreit, Thorsten Brants
ICECCS
1995
IEEE
228views Hardware» more  ICECCS 1995»
15 years 1 months ago
A combined functional and object-oriented approach to software design
Large and complex software systems contain a variety of entities objects and a complex control system transformationfunction. The pure object-orienteddesign and structured des...
Haifeng Qian, Eduardo B. Fernández, Jie Wu
GECCO
2007
Springer
197views Optimization» more  GECCO 2007»
15 years 3 months ago
Computational intelligence techniques: a study of scleroderma skin disease
This paper presents an analysis of microarray gene expression data from patients with and without scleroderma skin disease using computational intelligence and visual data mining ...
Julio J. Valdés, Alan J. Barton