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Data clustering using efficient similarity measures

Published:2019-03-26 Issue:5 Volume:22 Page:901-922
ISSN:0972-0510
Container-title:Journal of Statistics and Management Systems
language:en
Short-container-title:Journal of Statistics and Management Systems

Author:

Bisandu Desmond Bala¹,Prasad Rajesh²,Liman Musa Muhammad³

Affiliation:

1. Department of Computer Science, University of Jos, P.M.B. 2084 Jos, Plateau State 930001 Nigeria

2. Department of Computer Science, African University of Science and Technology, P.M.B. 681 Garki, Abuja F.C.T, Nigeria

3. Department of Computer Science, University Putra Malaysia, Selangor, 43400 Serdang, Malaysia

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/09720510.2019.1565443

Reference24 articles.

1. A new web-based solution for modelling data mining processes

2. N-Gram Similarity and Distance

3. Classification of text documents based on score level fusion approach

4. Selection criteria for text mining approaches

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1. Hybrid Text Embedding and Evolutionary Algorithm Approach for Topic Clustering in Online Discussion Forums;ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal;2024-08-27

2. Datamining clustering in grouping adolescents and adults with information technology and computer skills by profession;AIP Conference Proceedings;2024

3. Improved Hybrid Similarity for Clustering of Text Documents Using GA;Lecture Notes in Electrical Engineering;2024

4. A survey on short text similarity measurement methods;Signal and Data Processing;2023-12-01

5. Do all roads lead to Rome? Studying distance measures in the context of machine learning;Pattern Recognition;2023-09

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