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Text Clustering Techniques : A Review

Mukesh Kumar1 , Amandeep Verma2

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 1091-1099, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.10911099

Online published on Jun 30, 2018

Copyright © Mukesh Kumar, Amandeep Verma . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Mukesh Kumar, Amandeep Verma, “Text Clustering Techniques : A Review,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1091-1099, 2018.

MLA Style Citation: Mukesh Kumar, Amandeep Verma "Text Clustering Techniques : A Review." International Journal of Computer Sciences and Engineering 6.6 (2018): 1091-1099.

APA Style Citation: Mukesh Kumar, Amandeep Verma, (2018). Text Clustering Techniques : A Review. International Journal of Computer Sciences and Engineering, 6(6), 1091-1099.

BibTex Style Citation:
@article{Kumar_2018,
author = {Mukesh Kumar, Amandeep Verma},
title = {Text Clustering Techniques : A Review},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {1091-1099},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2305},
doi = {https://doi.org/10.26438/ijcse/v6i6.10911099}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.10911099}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2305
TI - Text Clustering Techniques : A Review
T2 - International Journal of Computer Sciences and Engineering
AU - Mukesh Kumar, Amandeep Verma
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 1091-1099
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

Text clustering is an unsupervised data mining technique which involves the process of classifying an unlabeled dataset into the groups of similar data objects. These groups are known as clusters; each cluster consists of data objects such that the data objects are more similar within the same group and dissimilar to the data objects of other groups. There is a variety of text clustering techniques used to compute the similarity among the given unlabeled dataset patterns. Moreover, huge literature is available on clustering algorithms and a comprehensive survey would also be an immense task. The purpose of this paper is an attempt to explore the text clustering techniques and to facilitate the researchers for the future inventions. In this paper, literature survey of different text clustering techniques has been performed and presented an analysis of various studies in this area. After reviewing various text clustering techniques from different aspects, this paper suggests research directions for the researchers in this field that can be proved useful for the researchers. Survey of text clustering techniques is performed for the English text/documents as well as for the documents in vernaculars like Gurumukhi script.

Key-Words / Index Term

Text clustering, Clustering techniques, Data mining techniques, Unsupervised learning, Machine learning

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