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SDM
2003
SIAM
125views Data Mining» more  SDM 2003»
13 years 11 months ago
Scalable, Balanced Model-based Clustering
This paper presents a general framework for adapting any generative (model-based) clustering algorithm to provide balanced solutions, i.e., clusters of comparable sizes. Partition...
Shi Zhong, Joydeep Ghosh
APWEB
2010
Springer
13 years 10 months ago
Multi-View Clustering with Web and Linguistic Features for Relation Extraction
Binary semantic relation extraction is particularly useful for various NLP and Web applications. Currently Webbased methods and Linguistic-based methods are two types of leading me...
Yulan Yan, Haibo Li, Yutaka Matsuo, Zhenglu Yang, ...
IJON
2010
94views more  IJON 2010»
13 years 8 months ago
Optimizing an organized modularity measure for topographic graph clustering: A deterministic annealing approach
This paper proposes an organized generalization of Newman and Girvan’s modularity measure for graph clustering. Optimized via a deterministic annealing scheme, this measure prod...
Fabrice Rossi, Nathalie Villa-Vialaneix
IJCNLP
2005
Springer
14 years 3 months ago
Document Clustering with Grouping and Chaining Algorithms
Document clustering has many uses in natural language tools and applications. For instance, summarizing sets of documents that all describe the same event requires first identifyi...
Yllias Chali, Soufiane Noureddine
NIPS
2001
13 years 11 months ago
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...
Mikhail Belkin, Partha Niyogi