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A survey on feature weighting based K-Means algorithms
Renato Cordeiro De Amorim
Research output
:
Contribution to journal
›
Article
›
peer-review
38
Citations (Scopus)
322
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Dive into the research topics of 'A survey on feature weighting based K-Means algorithms'. Together they form a unique fingerprint.
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Keyphrases
K-means Algorithm
100%
Feature Weighting
100%
K-means
100%
Popular
66%
Relevance Degree
66%
Preprocessing Techniques
33%
Feature Weight
33%
Clustering Algorithm
33%
Weighting Mechanism
33%
Partitional Clustering Algorithm
33%
Mechanism-based
33%
Recovery Ability
33%
Innovative Features
33%
Data Preprocessing
33%
Cluster Recovery
33%
Clustering Process
33%
Machine Learning Algorithms
33%
Computer Science
Mean Algorithm
100%
Clustering Algorithm
100%
Machine Learning Algorithm
50%
Preprocessing Phase
50%
clustering process
50%
Data Preprocessing
50%