Title
On the Use of Fuzzy Constraints in Semisupervised Clustering.
Abstract
This paper introduces Fuzzy HSS, a semisupervised hierarchical clustering approach that uses fuzzy instance-level constraints. These constraints are external information on the shape of fuzzy must-link and fuzzy cannot-link restrictions. They allow uncertainty when indicating whether two instances of a dataset belong to the same group. Fuzzy must-link constraints give a degree of belief of two ins...
Year
DOI
Venue
2016
10.1109/TFUZZ.2015.2466085
IEEE Transactions on Fuzzy Systems
Keywords
Field
DocType
Entropy,Clustering algorithms,Partitioning algorithms,Indexes,Clustering methods,Proposals,Shape
Data mining,Fuzzy clustering,Neuro-fuzzy,Fuzzy classification,Defuzzification,Fuzzy set operations,Fuzzy logic,Artificial intelligence,Constrained clustering,Fuzzy number,Mathematics,Machine learning
Journal
Volume
Issue
ISSN
24
4
1063-6706
Citations 
PageRank 
References 
6
0.44
20
Authors
3
Name
Order
Citations
PageRank
Irene Diaz-Valenzuela1292.92
Amparo Vila2557.21
Maria J. Martín-Bautista320823.79