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» Semantic Smoothing for Model-based Document Clustering
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IJCAI
2007
13 years 6 months ago
Semantic Smoothing of Document Models for Agglomerative Clustering
In this paper, we argue that the agglomerative clustering with vector cosine similarity measure performs poorly due to two reasons. First, the nearest neighbors of a document belo...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
13 years 10 months ago
Semantic Smoothing for Model-based Document Clustering
Xiaodan Zhang, Xiaohua Zhou, Xiaohua Hu
AUSAI
2009
Springer
13 years 8 months ago
Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis
Abstract. Spectral co-clustering is a generic method of computing coclusters of relational data, such as sets of documents and their terms. Latent semantic analysis is a method of ...
Laurence A. F. Park, Christopher Leckie, Kotagiri ...
SIGIR
2010
ACM
13 years 8 months ago
Estimation of statistical translation models based on mutual information for ad hoc information retrieval
As a principled approach to capturing semantic relations of words in information retrieval, statistical translation models have been shown to outperform simple document language m...
Maryam Karimzadehgan, ChengXiang Zhai
JCST
2008
121views more  JCST 2008»
13 years 4 months ago
Clustering Text Data Streams
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu