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Scalable clustering algorithms with balancing constraints
Arindam Banerjee
, Joydeep Ghosh
Research output
:
Contribution to journal
›
Article
›
peer-review
93
Scopus citations
Overview
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Dive into the research topics of 'Scalable clustering algorithms with balancing constraints'. Together they form a unique fingerprint.
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Keyphrases
Clustering Algorithm
100%
Scalable Clustering
100%
Balanced Clustering
100%
Balance Constraints
100%
Clustering Methods
50%
Data Clustering
50%
Data Mining Applications
50%
Parameterized Algorithms
50%
High Probability
50%
Existing Techniques
50%
Large Classes
50%
Balanced Clusters
50%
Initial Cluster
50%
Refinement Algorithm
50%
Cluster Performance
50%
Point Clustering
50%
Uniform Sampling
50%
Stable Marriage Problem
50%
Clustering Process
50%
Popular
50%
PRESENT Algorithm
50%
Application Demand
50%
Computer Science
Data Mining
100%
Data Mining Application
100%
Clustered Data
100%
Uniform Sampling
100%
clustering process
100%
Experimental Result
100%
Clustering Algorithm
100%
Clustering Method
100%
Remaining Data
100%
Mathematics
Clustering
100%
Clustering Algorithm
100%
Data Mining
100%
Probability Theory
50%
Parametric
50%
Clustering Method
50%
Data Point
50%
Clustered Data
50%
Remaining Data
50%