Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering

ISSN： 0885-6125

Source： Machine Learning, Vol.55, Iss.3, 2004-06, pp. : 311-331

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Hierarchical Clustering Algorithms for Document Datasets

By Zhao Ying Karypis George Fayyad Usama

Data Mining and Knowledge Discovery, Vol. 10, Iss. 2, 2005-03 ,pp. : 141-168

Springer Publishing Company

Access to resources Recommend Favorite

An Ontology Based Model for Document Clustering

International Journal of Intelligent Information Technologies (IJIIT), Vol. 7, Iss. 3, 2011-07 ,pp. : 54-69

IGI Global_journal

Access to resources Recommend Favorite

Hierarchical document clustering using local patterns

By Malik Hassan Kender John Fradkin Dmitriy Moerchen Fabian

Data Mining and Knowledge Discovery, Vol. 21, Iss. 1, 2010-07 ,pp. : 153-185

Springer Publishing Company

Access to resources Recommend Favorite

MINING A WEB CITATION DATABASE FOR DOCUMENT CLUSTERING

By He Y. Hui S. C. Fong A. C. M.

Applied Artificial Intelligence, Vol. 16, Iss. 4, 2002-04 ,pp. : 283-302

Taylor & Francis Ltd

Access to resources Recommend Favorite

Document clustering based on web search hit counts

By Kaneko Masaya Okamoto Shusuke Kohana Masaki Inayoshi You

International Journal of Business Intelligence and Data Mining, Vol. 8, Iss. 1, 2013-08 ,pp. : 61-73

Inderscience Publishers

Access to resources Recommend Favorite