Abstract | ||
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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-Valenzuela | 1 | 29 | 2.92 |
Amparo Vila | 2 | 55 | 7.21 |
Maria J. Martín-Bautista | 3 | 208 | 23.79 |