Symbolic clustering using a new dissimilarity measure
Pattern Recognition
Agglomerative clustering of symbolic objects using the concepts of both similarity and dissimilarity
Pattern Recognition Letters
A conceptual version of the K-means algorithm
Pattern Recognition Letters
A monothetic clustering method
Pattern Recognition Letters
ACM Computing Surveys (CSUR)
Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data
Clustering of interval data based on city-block distances
Pattern Recognition Letters
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
Pattern Recognition Letters
Clustering of symbolic objects using gravitational approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Forecasting models for interval-valued time series
Neurocomputing
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Clustering constrained symbolic data
Pattern Recognition Letters
A Novel Pixon-Based Approach for Image Segmentation Using Wavelet Thresholding Method
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Constrained linear regression models for symbolic interval-valued variables
Computational Statistics & Data Analysis
Clustering of symbolic data using the assignment-prototype algorithm
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Gaussian mixture learning via robust competitive agglomeration
Pattern Recognition Letters
A fuzzy neural network approach for die yield prediction of wafer fabrication line
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Interval competitive agglomeration clustering algorithm
Expert Systems with Applications: An International Journal
Fuzzy rule classifier: Capability for generalization in wood color recognition
Engineering Applications of Artificial Intelligence
Self-organizing map for symbolic data
Fuzzy Sets and Systems
Fuzzy Kohonen clustering networks for interval data
Neurocomputing
Clustering interval data through kernel-induced feature space
Journal of Intelligent Information Systems
Relational partitioning fuzzy clustering algorithms based on multiple dissimilarity matrices
Fuzzy Sets and Systems
A weighted multivariate Fuzzy C-Means method in interval-valued scientific production data
Expert Systems with Applications: An International Journal
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning
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This paper presents adaptive and non-adaptive fuzzy c-means clustering methods for partitioning symbolic interval data. The proposed methods furnish a fuzzy partition and prototype for each cluster by optimizing an adequacy criterion based on suitable squared Euclidean distances between vectors of intervals. Moreover, various cluster interpretation tools are introduced. Experiments with real and synthetic data sets show the usefulness of these fuzzy c-means clustering methods and the merit of the cluster interpretation tools.