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An Approach for Document Clustering using Agglomerative Clustering and Hebbian-type Neural Network

by Gopal Patidar, Anju Singh, Divakar Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Number 9
Year of Publication: 2013
Authors: Gopal Patidar, Anju Singh, Divakar Singh
10.5120/13139-0532

Gopal Patidar, Anju Singh, Divakar Singh . An Approach for Document Clustering using Agglomerative Clustering and Hebbian-type Neural Network. International Journal of Computer Applications. 75, 9 ( August 2013), 17-22. DOI=10.5120/13139-0532

@article{ 10.5120/13139-0532,
author = { Gopal Patidar, Anju Singh, Divakar Singh },
title = { An Approach for Document Clustering using Agglomerative Clustering and Hebbian-type Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 9 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 17-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number9/13139-0532/ },
doi = { 10.5120/13139-0532 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:43:49.923249+05:30
%A Gopal Patidar
%A Anju Singh
%A Divakar Singh
%T An Approach for Document Clustering using Agglomerative Clustering and Hebbian-type Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 9
%P 17-22
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Clustering is a useful method that categorizes a large quantity of unordered text documents into a small number of meaningful and coherent collections, thereby providing a basis for instinctive and informative navigation and browsing mechanisms. Different type of distance functions and similarity measures have been used for clustering, such as squared, cosine similarity, Euclidean distance and relative entropy. This paper presents text document space dimension reduction in text document retrieval by agglomerative clustering and Hebbian-type neural network. Hebbian-type neural network reduce document space to two dimensions so each document is represented as a point in the reduced document space. Furthermore, the clusters are formed in compact document space.

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Index Terms

Computer Science
Information Sciences

Keywords

Agglomerative and Oja Learning Rule of hebbian-type neural network F-measure

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