A decision theoretic framework for approximating concepts
International Journal of Man-Machine Studies
Neural Computation
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Performance Evaluation of Some Clustering Algorithms and Validity Indices
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Sciences—Informatics and Computer Science: An International Journal
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
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
Some refinements of rough k-means clustering
Pattern Recognition
On Three Types of Covering-Based Rough Sets
IEEE Transactions on Knowledge and Data Engineering
ECM: An evidential version of the fuzzy c-means algorithm
Pattern Recognition
RFCM: A Hybrid Clustering Algorithm Using Rough and Fuzzy Sets
Fundamenta Informaticae
Attribute reduction in decision-theoretic rough set models
Information Sciences: an International Journal
Probabilistic rough set approximations
International Journal of Approximate Reasoning
Probabilistic approach to rough sets
International Journal of Approximate Reasoning
Web-Based Support Systems with Rough Set Analysis
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
From fuzzy sets to shadowed sets: Interpretation and computing
International Journal of Intelligent Systems - Decision Sciences: Foundations and Applications
RECM: Relational evidential c-means algorithm
Pattern Recognition Letters
Rough Cluster Quality Index Based on Decision Theory
IEEE Transactions on Knowledge and Data Engineering
Three-way decisions with probabilistic rough sets
Information Sciences: an International Journal
Shadowed c-means: Integrating fuzzy and rough clustering
Pattern Recognition
Constructive and algebraic methods of the theory of rough sets
Information Sciences: an International Journal
Rough sets and near sets in medical imaging: a review
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Data clustering: 50 years beyond K-means
Pattern Recognition Letters
Decision-theoretic rough set models
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Bayesian decision theory for dominance-based rough set approach
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Applications of rough set based K-means, Kohonen SOM, GA clustering
Transactions on rough sets VII
Rough-fuzzy clustering: an application to medical imagery
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Rough multi-category decision theoretic framework
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Feature Selection Using f-Information Measures in Fuzzy Approximation Spaces
IEEE Transactions on Knowledge and Data Engineering
Evolutionary rough k-medoid clustering
Transactions on rough sets VIII
International Journal of Approximate Reasoning
Feature Selection and Kernel Learning for Local Learning-Based Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new formulation of multi-category decision-theoretic rough sets
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Microarray Time-Series Data Clustering Using Rough-Fuzzy C-Means Algorithm
BIBM '11 Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine
CECM: Constrained evidential C-means algorithm
Computational Statistics & Data Analysis
International Journal of Approximate Reasoning
Shadowed sets: representing and processing fuzzy sets
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Some new indexes of cluster validity
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
EVCLUS: evidential clustering of proximity data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Rough–Fuzzy Collaborative Clustering
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Rough Set Based Generalized Fuzzy -Means Algorithm and Quantitative Indices
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Possibilistic Fuzzy c-Means Clustering Algorithm
IEEE Transactions on Fuzzy Systems
Soft transition from probabilistic to possibilistic fuzzy clustering
IEEE Transactions on Fuzzy Systems
A possibilistic approach to clustering
IEEE Transactions on Fuzzy Systems
Dynamic rough clustering and its applications
Applied Soft Computing
Two Semantic Issues in a Probabilistic Rough Set Model
Fundamenta Informaticae - Advances in Rough Set Theory
Fundamenta Informaticae - Advances in Rough Set Theory
Soft clustering -- Fuzzy and rough approaches and their extensions and derivatives
International Journal of Approximate Reasoning
An extension to rough c-means clustering algorithm based on boundary area elements discrimination
Transactions on Rough Sets XVI
Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets
International Journal of Approximate Reasoning
Incorporating logistic regression to decision-theoretic rough sets for classifications
International Journal of Approximate Reasoning
Multigranulation decision-theoretic rough sets
International Journal of Approximate Reasoning
Multi-class decision-theoretic rough sets
International Journal of Approximate Reasoning
An automatic method to determine the number of clusters using decision-theoretic rough set
International Journal of Approximate Reasoning
Feature selection with test cost constraint
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
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Rough c-means algorithm has gained increasing attention in recent years. However, the assignment scheme of Rough c-means algorithm does not incorporate any information about the neighbors of the data point to be assigned and may cause undesirable solutions in practice. This paper proposes an extended Rough c-means clustering algorithm based on the concepts of decision-theoretic Rough Sets model. In the risk calculation, a new kind of loss function is utilized to capture the loss information of the neighbors. The assignment scheme of the present multi-category decision-theoretic Rough Sets model is also adjusted to deal with the potentially high computational cost. Experimental results are provided to validate the effectiveness of the proposed approach.