A sample hierarchical cluster victimization agglomative methodology and divisive methodology in data mining

S.Shirisha , Ch.Jaya Bharathi

hierarchical clustering, agglomative method, divisive method

During this paper, we have a tendency to be discussing concerning hierarchical cluster victimization agglomative & divisive strategies in data processing for sample objects, scattered in several areas. A hierarchical cluster methodology works by grouping information objects into a tree of clusters. In the hierarchical clustering, for a sample of points (objects), by applying agglomative or divisive methods need to calculate min, max, mean, and average distance. Depends on values, afterward, we can form different clusters.

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"A sample hierarchical cluster victimization agglomative methodology and divisive methodology in data mining", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 2, page no.159 - 163, February-2020, Available :https://ijsdr.org/papers/IJSDR2002026.pdf

Volume 5 Issue 2, February-2020

Pages : 159 - 163

Paper Reg. ID: IJSDR_191342

Published Paper Id: IJSDR2002026

Downloads: 000347506

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2002026

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2002026

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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