Algorithms for clustering data
Algorithms for clustering data
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
ACM Computing Surveys (CSUR)
Multidimensional scaling of interval-valued dissimilarity data
Pattern Recognition Letters
Clustering Algorithms
Digital Image Processing
Detecting outliers in interval data
Proceedings of the 44th annual Southeast regional conference
Symbolic representation of two-dimensional shapes
Pattern Recognition Letters
Fuzzy c-means clustering methods for symbolic interval data
Pattern Recognition Letters
Centre and Range method for fitting a linear regression model to symbolic interval data
Computational Statistics & Data Analysis
k-ANMI: A mutual information based clustering algorithm for categorical data
Information Fusion
Clustering constrained symbolic data
Pattern Recognition Letters
Constrained linear regression models for symbolic interval-valued variables
Computational Statistics & Data Analysis
Unsupervised pattern recognition models for mixed feature-type symbolic data
Pattern Recognition Letters
Dynamic clustering of interval-valued data based on adaptive quadratic distances
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Interval competitive agglomeration clustering algorithm
Expert Systems with Applications: An International Journal
Cluster based symbolic representation and feature selection for text classification
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Measure based metrics for aggregated data
Intelligent Data Analysis
IWCF'10 Proceedings of the 4th international conference on Computational forensics
A partitioning method for symbolic interval data based on kernelized metric
Proceedings of the 20th ACM international conference on Information and knowledge management
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Clustering with proximity knowledge and relational knowledge
Pattern Recognition
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
On possibilistic clustering with repulsion constraints for imprecise data
Information Sciences: an International Journal
Robust support vector machine-trained fuzzy system
Neural Networks
Self-Organizing Maps for imprecise data
Fuzzy Sets and Systems
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In this paper, a novel similarity measure for estimating the degree of similarity between two patterns (described by interval type data) is proposed. The proposed measure computes the degree of similarity between two patterns and approximates the computed similarity value by a multivalued type data. Unlike conventional proximity matrices, the proximity matrix obtained through the application of the proposed similarity measure is not necessarily symmetric. Based on this unconventional similarity matrix a modified agglomerative method by introducing the concept of mutual similarity value (MSV) for clustering symbolic patterns is also presented. Experiments on various data sets have been conducted in order to study the efficacy of the proposed methodology.