INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
A sample hierarchical cluster victimization agglomative methodology and divisive methodology in data mining
Authors Name:
S.Shirisha
, Ch.Jaya Bharathi
Unique Id:
IJSDR2002026
Published In:
Volume 5 Issue 2, February-2020
Abstract:
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.
"A sample hierarchical cluster victimization agglomative methodology and divisive methodology in data mining", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 2, page no.159 - 163, February-2020, Available :http://www.ijsdr.org/papers/IJSDR2002026.pdf
Downloads:
000337075
Publication Details:
Published Paper ID: IJSDR2002026
Registration ID:191342
Published In: Volume 5 Issue 2, February-2020
DOI (Digital Object Identifier):
Page No: 159 - 163
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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