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A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data
Jinchao Ji
,
Wei Pang
, Chunguang Zhou
, Xiao Han
, Zhe Wang
Computer Science
School of Mathematical & Computer Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
159
Citations (Scopus)
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INIS
data
100%
algorithms
100%
fuzzy logic
100%
applications
16%
values
16%
comparative evaluations
16%
performance
16%
partition
16%
datasets
16%
Computer Science
Clustering Algorithm
100%
Categorical Data
100%
Application Data
50%
Dissimilarity Measure
50%
Hard Partition
50%
clustering process
50%
Mathematics
Categorical Data
100%
Numerics
100%
Clustering Algorithm
100%
Method Performs
50%
Centroid
50%