Proximity relations in the fuzzy relational database model
Fuzzy Sets and Systems
Fuzzy clustering algorithms based on the maximum likelihood principle
Fuzzy Sets and Systems
Rough set approach to incomplete information systems
Information Sciences: an International Journal
Cluster analysis based in fuzzy relations
Fuzzy Sets and Systems - Special issue on clustering and learning
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Rough-Fuzzy Hybridization: A New Trend in Decision Making
A Generalized Definition of Rough Approximations Based on Similarity
IEEE Transactions on Knowledge and Data Engineering
Rough-fuzzy functions in classification
Fuzzy Sets and Systems
Time Complexity of Rough Clustering: GAs versus K-Means
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Case Generation Using Rough Sets with Fuzzy Representation
IEEE Transactions on Knowledge and Data Engineering
Interval Set Clustering of Web Users with Rough K-Means
Journal of Intelligent Information Systems
Indiscernibility-based clustering: rough clustering
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Rough-Fuzzy C-Medoids Algorithm and Selection of Bio-Basis for Amino Acid Sequence Analysis
IEEE Transactions on Knowledge and Data Engineering
EDA-USL: unsupervised clustering algorithm based on estimation of distribution algorithm
International Journal of Wireless and Mobile Computing
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In this paper, cluster analysis based on fuzzy relations is investigated. This paper starts with fuzzy proximity relations and cluster analysis based on fuzzy proximity relation is performed by using rough approximation. A clustering algorithm has been proposed and explained with an example.