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» A Multi-level Approach for Document Clustering
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CEC
2008
IEEE
14 years 2 months ago
Correlation clustering based on genetic algorithm for documents clustering
—Correlation clustering problem is a NP hard problem and technologies for the solving of correlation clustering problem can be used to cluster given data set with relation matrix...
Zhenya Zhang, Hongmei Cheng, Wanli Chen, Shuguang ...
TKDE
2008
175views more  TKDE 2008»
13 years 7 months ago
Efficient Phrase-Based Document Similarity for Clustering
Phrase has been considered as a more informative feature term for improving the effectiveness of document clustering. In this paper, we propose a phrase-based document similarity t...
Hung Chim, Xiaotie Deng
AIRS
2006
Springer
13 years 11 months ago
A Novel Ant-Based Clustering Approach for Document Clustering
Recently, much research has been proposed using nature inspired algorithms to perform complex machine learning tasks. Ant Colony Optimization (ACO) is one such algorithm based on s...
Yulan He, Siu Cheung Hui, Yongxiang Sim
IRFC
2011
Springer
12 years 11 months ago
Multilingual Document Clustering Using Wikipedia as External Knowledge
This paper presents Multilingual Document Clustering (MDC) on comparable corpora. Wikipedia, a structured multilingual knowledge base, has been highly exploited in many monolingual...
N. Kiran Kumar, G. S. K. Santosh, Vasudeva Varma
KDD
2005
ACM
135views Data Mining» more  KDD 2005»
14 years 8 months ago
A hybrid unsupervised approach for document clustering
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
Mihai Surdeanu, Jordi Turmo, Alicia Ageno