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Displaying 1-13 out of 13 total
A New Symmetry Based Cluster Validity Index: Application to Satellite Image Segmentation
Found in: Information Technology, International Conference on
By Sriparna Saha, Sanghamitra Bandyopadhyay, Ujjwal Maulik
Issue Date:December 2006
pp. 121-124
An important approach for image segmentation is clustering the pixels based on their spectral properties. In this paper, a newly developed point symmetry distance is used to propose a new cluster validity index named S-index (Symmetry distance based index)...
 
Reformulated Kemeny Optimal Aggregation with Application in Consensus Ranking of microRNA Targets
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Debarka Sengupta,Aroonalok Pyne,Ujjwal Maulik,Sanghamitra Bandyopadhyay
Issue Date:May 2013
pp. 742-751
MicroRNAs are very recently discovered small noncoding RNAs, responsible for negative regulation of gene expression. Members of this endogenous family of small RNA molecules have been found implicated in many genetic disorders. Each microRNA targets tens t...
 
Mining Quasi-Bicliques from HIV-1-Human Protein Interaction Network: A Multiobjective Biclustering Approach
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Ujjwal Maulik,Anirban Mukhopadhyay,Malay Bhattacharyya,Lars Kaderali,Benedikt Brors,Sanghamitra Bandyopadhyay,Roland Eils
Issue Date:March 2013
pp. 423-435
In this work, we model the problem of mining quasi-bicliques from weighted viral-host protein-protein interaction network as a biclustering problem for identifying strong interaction modules. In this regard, a multiobjective genetic algorithm-based biclust...
 
Weighted Markov Chain Based Aggregation of Biomolecule Orderings
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Debarka Sengupta,Ujjwal Maulik,Sanghamitra Bandyopadhyay
Issue Date:May 2012
pp. 924-933
The scope and effectiveness of Rank Aggregation (RA) have already been established in contemporary bioinformatics research. Rank aggregation helps in meta-analysis of putative results collected from different analytic or experimental sources. For example, ...
 
Spectral Clustering on Neighborhood Kernels with Modified Symmetry for Remote Homology Detection
Found in: Emerging Applications of Information Technology, International Conference on
By Anasua Sarkar, Macha Nikolski, Ujjwal Maulik
Issue Date:February 2011
pp. 269-272
Remote homology detection among proteins in an unsupervised approach from sequences is an important problem in computational biology. The existing neighborhood cluster kernel methods and Markov clustering algorithms are most efficient for homolog detection...
 
Unsupervised Satellite Image Segmentation by Combining SA Based Fuzzy Clustering with Support Vector Machine
Found in: Advances in Pattern Recognition, International Conference on
By Anirban Mukhopadhyay, Ujjwal Maulik
Issue Date:February 2009
pp. 381-384
Fuzzy clustering is an important tool for unsupervised pixel classification in remotely sensed satellite images. In this article, a Simulated Annealing (SA) based fuzzy clustering method is developed and combined with popular Support vector Machine (SVM) c...
 
Multiobjective Genetic Clustering with Ensemble Among Pareto Front Solutions: Application to MRI Brain Image Segmentation
Found in: Advances in Pattern Recognition, International Conference on
By Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay
Issue Date:February 2009
pp. 236-239
This article describes a multiobjective genetic fuzzy clustering scheme that utilizes the search capabilities of NSGA-II, a popular multiobjective genetic algorithm and optimizes a number of fuzzy cluster validity measures. Real-coded encoding of the clust...
 
Parallel Point Symmetry Based Clustering for Gene Microarray Data
Found in: Advances in Pattern Recognition, International Conference on
By Anasua Sarkar, Ujjwal Maulik
Issue Date:February 2009
pp. 351-354
Point symmetry-based clustering is an important unsupervised learning tool for recognizing symmetrical convex or non-convex shaped clusters, even in the microarray datasets. To enable fast clustering of this large data, in this article, a distributed space...
 
Multiobjective Genetic Fuzzy Clustering of Categorical Attributes
Found in: Information Technology, International Conference on
By Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay
Issue Date:December 2007
pp. 74-79
Most of the algorithms designed for categorical data clustering optimize a single measure of the clustering good- ness. Such a single measure may not be appropriate for different kinds of data sets. Therefore, consideration of multiple, often conflicting, ...
 
Efficient Two-stage Fuzzy Clustering of Microarray Gene Expression Data
Found in: Information Technology, International Conference on
By Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay
Issue Date:December 2006
pp. 11-14
This article presents an efficient two-stage clustering method for clustering microarray gene expression time series data. The algorithm is based on the identification of genes having significant membership to multiple classes. A recently proposed variable...
 
Performance Evaluation of Some Clustering Algorithms and Validity Indices
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ujjwal Maulik, Sanghamitra Bandyopadhyay
Issue Date:December 2002
pp. 1650-1654
<p><b>Abstract</b>—In this article, we evaluate the performance of three clustering algorithms, hard K-Means, single linkage, and a simulated annealing (SA) based technique, in conjunction with four cluster validity indices, namely Davies...
 
Reformulated Kemeny Optimal Aggregation with Application in Consensus Ranking of microRNA Targets
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Aroonalok Pyne, Debarka Sengupta, Ujjwal Maulik, Sanghamitra Bandyopadhyay
Issue Date:May 2013
pp. 742-751
MicroRNAs are very recently discovered small noncoding RNAs, responsible for negative regulation of gene expression. Members of this endogenous family of small RNA molecules have been found implicated in many genetic disorders. Each microRNA targets tens t...
     
Mining Quasi-Bicliques from HIV-1-Human Protein Interaction Network: A Multiobjective Biclustering Approach
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Anirban Mukhopadhyay, Benedikt Brors, Lars Kaderali, Malay Bhattacharyya, Roland Eils, Sanghamitra Bandyopadhyay, Ujjwal Maulik
Issue Date:March 2013
pp. 423-435
In this work, we model the problem of mining quasi-bicliques from weighted viral-host protein-protein interaction network as a biclustering problem for identifying strong interaction modules. In this regard, a multiobjective genetic algorithm-based biclust...
     
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