JOURNAL ARTICLE

Fuzzy c-means for Fuzzy Hierarchical Clustering

Abstract

This paper describes an algorithm for building fuzzy hierarchies. These are hierarchies where the elements can have fuzzy membership to the nodes. The paper presents an approach that mainly follows a bottom-up strategy, and describes the functions needed to operate with fuzzy variables. An example of the application of the approach is also presented

Keywords:
Fuzzy logic Fuzzy set operations Fuzzy classification Fuzzy clustering Defuzzification Computer science Data mining Fuzzy number Fuzzy set Neuro-fuzzy Hierarchical clustering Fuzzy associative matrix Artificial intelligence Fuzzy control system Mathematics Cluster analysis

Metrics

58
Cited By
2.91
FWCI (Field Weighted Citation Impact)
11
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
Advanced Clustering Algorithms Research
Physical Sciences →  Computer Science →  Artificial Intelligence
Data Mining Algorithms and Applications
Physical Sciences →  Computer Science →  Information Systems

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