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Published in:

Volume 7 Issue 11
November-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2011042


Registration ID:
302833

Page Number

267-271

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Title

Dimensionality Reduction in Clustering Optimality for Next Generation Networks

Abstract

Next-generation networks seem to be full of challenges. Network Management is one among them which plays a key role in making the network functional in terms of performance. It is the aim of operators or service providers to facilitate end-to-end monitoring and network optimization. With the modern machine learning techniques the networks by themselves incorporate self-healing (SH) frame work to provide a fully functional and optimized network management system. A SH framework for next-generation networks using dimensionality reduction in the means of Optimal clustering is proposed in this paper taking advantage of feature selection and dimensionality reduction techniques. The proposed framework performs the self- diagnosis and indicates the optimality factor.

Key Words

Feature selection, Next generation networks, Dimensionality Reduction, Self Healing.

Cite This Article

"Dimensionality Reduction in Clustering Optimality for Next Generation Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 11, page no.267-271, November-2020, Available :http://www.jetir.org/papers/JETIR2011042.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

"Dimensionality Reduction in Clustering Optimality for Next Generation Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp267-271, November-2020, Available at : http://www.jetir.org/papers/JETIR2011042.pdf

Publication Details

Published Paper ID: JETIR2011042
Registration ID: 302833
Published In: Volume 7 | Issue 11 | Year November-2020
DOI (Digital Object Identifier):
Page No: 267-271
Country: Visakhapatnam, Andhra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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