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Characterization and detection of noise in clustering
Rajesh N. Dave
Chemical and Materials Engineering
New Jersey Center for Engineered Particulates
Research output
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Contribution to journal
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Article
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peer-review
637
Scopus citations
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Keyphrases
In Clustering
100%
Noisy Data
100%
Regression Analysis
50%
K-means
50%
Objective Functional
50%
Algorithm Analysis
50%
Fuzzy Clustering Algorithm
50%
Functional Types
50%
Noise Cluster
50%
K-means Algorithm
50%
Mathematics
Clustering
100%
K-Means
100%
Noisy Data
100%
Clustering Algorithm
50%
Regression Analysis
50%
Data Point
50%
Computer Science
Objective Functional
100%
Mean Algorithm
100%
Presented Approach
100%
Fuzzy Clustering Algorithm
100%
Engineering
Noisy Data
100%
Data Point
50%
Clustering Algorithm
50%
K-Means Classification Algorithm
50%