Keyword: clustering

Found 44 papers in total
Spectral methods for graph clustering – A survey
Spectral methods for graph clustering – A survey
2011,
Graph clustering is an area in cluster analysis that looks for groups of related...
Performance of KNN and SVM classifiers on full word Arabic articles
Performance of KNN and SVM classifiers on full word Arabic articles
2008,
This paper reports a comparative study of two machine learning methods on Arabic text...
An application of kernel methods to gene cluster temporal meta-analysis
An application of kernel methods to gene cluster temporal meta-analysis
2010,
The application of various clustering techniques for large-scale gene-expression...
CL E KMODES: a modified k-modes clustering algorithm
CL E KMODES: a modified k-modes clustering algorithm
2009,
In this paper we present a new method for clustering categorical data sets named...
Estimation of parameters in latent class models using fuzzy clustering algorithms
Estimation of parameters in latent class models using fuzzy clustering algorithms
2005,
A mixture approach to clustering is an important technique in cluster analysis. A...
Mode boundary detection by a morphological watershed transformation for clustering
Mode boundary detection by a morphological watershed transformation for clustering
1999,
A new approach to unsupervised pattern classification is developed, based on concepts...
Relative performances of similarity and dissimilarity measures
Relative performances of similarity and dissimilarity measures
1999,
Similarity or dissimilarity coefficient is used to measure the groupability of...
An adaptive tabu search algorithm for the capacitated clustering problem
An adaptive tabu search algorithm for the capacitated clustering problem
1999,
In the Capacitated Clustering Problem, a given set of customers with distinct demands...
A comprehensive clustering algorithm for strategic analysis of supply chain networks
A comprehensive clustering algorithm for strategic analysis of supply chain networks
1999,
Inventory management in supply chain networks involves keeping track of hundreds of...
Constrained optimization using a clustering algorithm
Constrained optimization using a clustering algorithm
2000,
In this study, we would like to demonstrate the capabilities of an optimum search...
Hempel's Raven paradox: A positive approach to cluster analysis
Hempel's Raven paradox: A positive approach to cluster analysis
2000,
A practical conclusion of the Hampel Raven paradox suggests a logical preference for...
A new fuzzy-c-means and assignment technique-based cell formation algorithm to perform part-type clusters and machine-type clusters separately
A new fuzzy-c-means and assignment technique-based cell formation algorithm to perform part-type clusters and machine-type clusters separately
1999,
The incorporation of fuzziness in the cell formation problem by Chu and Hayya is a...
Mathematical Classification and Clustering
Mathematical Classification and Clustering
1997,
A likelihood ratio test based on the Poisson point model in clustering problems
A likelihood ratio test based on the Poisson point model in clustering problems
1996,
When testing the presence of ( k +1) clusters versus the presence of k clusters,...
W-efficient partitions and the solution of the sequential clustering problem
W-efficient partitions and the solution of the sequential clustering problem
1997,
Clustering involves partitioning a set of related objects into a set of mutually...
Integrated fuzzy clustering
Integrated fuzzy clustering
1994,
Cluster analysis is a valuable tool for exploratory pattern analysis, especially when...
Min-cut clustering
Min-cut clustering
1993,
The authors describe a decomposition framework and a column generation scheme for...
Capacitated clustering problems by hybrid simulated annealing and tabu search
Capacitated clustering problems by hybrid simulated annealing and tabu search
1994,
The capacitated clustering problem is the problem in which a given set of weighted...
Optimal clustering: A model and method
Optimal clustering: A model and method
1991,
Classifying items into distinct groupings is fundamental in scientific inquiry. The...
Development of a company-tailored part classification and coding system using fuzzy clustering techniques
Development of a company-tailored part classification and coding system using fuzzy clustering techniques
1988,
This paper presents a methodology for the development of a part classification and...
Papers per page: