UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2006394


Registration ID:
234590

Page Number

369-372

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Title

Survey Paper on Descriptive Document Clustering using on the basis of Predictive Network

Abstract

The descriptive grouping consists of automatically organizing data instances into groups. The description should inform a user about the content of each group without further examination of the specific instances, allowing a user to quickly scan relevant groups. Selection of descriptions is often based on heuristic criteria. We modelling the descriptive cluster as an auto-coder network that predicts the characteristics of cluster assignments and predicts the cluster assignments of a subset of characteristics. The subset of functionality used to predict a cluster serves as a description. For the text documents, appearance or counting of words, phrases or other attributes provides a representation of the dispersed features with interpretable feature labels in the proposed network, cluster predictions are performed and feature forecasts are based on machine learning framework. The optimization of these models leads to a completely self-regulating descriptive grouping approach that automatically selects the number of clusters and the number of functions for each cluster. We apply the methodology to a variety of text documents and has shown that the selected grouping, as demonstrated by the subsets of the selected features, is associated with significant topical organization.

Key Words

Self-tuned, Descriptive clustering, feature selection, machine learning.

Cite This Article

"Survey Paper on Descriptive Document Clustering using on the basis of Predictive Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.369-372, June-2020, Available :http://www.jetir.org/papers/JETIR2006394.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Survey Paper on Descriptive Document Clustering using on the basis of Predictive Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp369-372, June-2020, Available at : http://www.jetir.org/papers/JETIR2006394.pdf

Publication Details

Published Paper ID: JETIR2006394
Registration ID: 234590
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 369-372
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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