IEEE Transactions on Computers
Data analysis in the social sciences: what about the details?
AFIPS '65 (Fall, part I) Proceedings of the November 30--December 1, 1965, fall joint computer conference, part I
IBM Journal of Research and Development
A technique for determining and coding subclasses in pattern recognition problems
IBM Journal of Research and Development
A Graph-Theoretic Approach to Nonparametric Cluster Analysis
IEEE Transactions on Computers
Nonparametric Learning Without a Teacher Based on Mode Estimation
IEEE Transactions on Computers
On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions
IEEE Transactions on Computers
Clustering Using a Similarity Measure Based on Shared Near Neighbors
IEEE Transactions on Computers
A Method of Using Cluster Analysis to Study Statistical Dependence in Multivariate Data
IEEE Transactions on Computers
Cluster analysis model with T-fuzzy data
Fuzzy Optimization and Decision Making
Feature selection for binary data: medical diagnosis with fuzzy sets
AFIPS '76 Proceedings of the June 7-10, 1976, national computer conference and exposition
A gradient procedure for determining clusters of relatively high point density
Pattern Recognition
Multivariate modeling and type-2 fuzzy sets
Fuzzy Sets and Systems
Trend of fuzzy multivariant analysis in management engineering
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Clustering methodologies for software engineering
Advances in Software Engineering
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An algorithm is presented which partitions a given sample from a multimodal fuzzy set into unimodal fuzzy sets. It is proven that if certain assumptions are satisfied, then the algorithm will derive the optimal partition in the sense of maximum separation.