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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
PERFORMANCE ANALYSIS OF SEVERAL CLUSTERING TECHNIQUES USED FOR ENORMOUS DATASETS
Authors
Mr.Abhijit kumar
Keywords
Keywords: Clustering, Density based Methods (DBM), Data Mining (DM), Grid Based Methods (GBM), Partition Methods (PM), Hierarchical Methods (HM),
Abstract
Abstract: Data Mining is the process of extracting hidden knowledge, valuable trends and pattern from enormous databases
which is used in organization for decision- making determination. There are numerous data mining techniques like
clustering, prediction, outlier analysis, classification and association rule mining. Clustering shows a significant role in data
mining process. This paper emphasis about clustering approaches. There are various applications where clustering
approaches is used. Clustering is the method of assigning data sets into different groups so that data sets in same group
having similar behaviour as compared to data sets in other groups. This paper deliberates about various clustering
approaches. It also describes about various pros and cons of these approaches. This paper also emphases on comparative
analysis of various clustering approaches.
IJCRT's Publication Details
Unique Identification Number - IJCRTRIETS068
Paper ID - 188764
Page Number(s) - 463-466
Pubished in - Volume 6 | Issue 2 | APRIL 2018
DOI (Digital Object Identifier) - http://doi.one/10.1729/IJCRT.17879
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Mr.Abhijit kumar, "PERFORMANCE ANALYSIS OF SEVERAL CLUSTERING TECHNIQUES USED FOR ENORMOUS DATASETS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.463-466, APRIL 2018, Available at :http://www.ijcrt.org/papers/IJCRTRIETS068.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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