Clustering texts using feature similarity based AHC algorithm

Author:

Jo Taeho1

Affiliation:

1. School of Game, Hongik University, 2639, Sejongro, Sejong, South Korea

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference31 articles.

1. Abainia K. , Ouamour S. and Sayoud H. , Neural Text Categorizer for topic identification of noisy Arabic Texts, Proceedings of 12th IEEE Conference on Computer Systems and Applications 2015, 1–8.

2. Ah-Pine J. and Wang X. , Similarity Based Hierarchical Clustering with an Application to Text Collections, Proceedings of International Symposium on Intelligent Data Analysis (2016), pp. 320–331.

3. Baeza-Yates R. , Ribeiro-Neto B. , Modern Information Retrieval: The Concepts and Technology behind Search, Addison-Wesley, 2011.

4. Model-based evaluation of clustering validation measures;Brun;Pattern Recognition,2007

5. Dhillon I.S. , Mallela S. and Kumar R. , Enhanced Word Clustering for Hierarchical Text Classification, Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2002, pp. 191–200.

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