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20112013
most citedEffective Clustering Algorithms for Gene Expression Data

29 citations · 46 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CE2013★ 1 cited

Performance Analysis of Clustering Algorithms for Gene Expression Data

T. Chandrasekhar, K. Thangavel, E. Elayaraja

Microarray technology is a process that allows thousands of genes simultaneously monitor to various experimental conditions. It is used to identify the co-expressed genes in specif…

cs.CE2013★ 7 cited

Unsupervised Gene Expression Data using Enhanced Clustering Method

T. Chandrasekhar, K. Thangavel, E. Elayaraja +1

Microarrays are made it possible to simultaneously monitor the expression profiles of thousands of genes under various experimental conditions. Identification of co-expressed genes…

cs.LG2013★ 4 cited

Improved Performance of Unsupervised Method by Renovated K-Means

P. Ashok, G. M Kadhar Nawaz, E. Elayaraja +1

Clustering is a separation of data into groups of similar objects. Every group called cluster consists of objects that are similar to one another and dissimilar to objects of other…

cs.CE2012★ 29 cited

Effective Clustering Algorithms for Gene Expression Data

T. Chandrasekhar, K. Thangavel, E. Elayaraja

Microarrays are made it possible to simultaneously monitor the expression profiles of thousands of genes under various experimental conditions. Identification of co-expressed genes…

cs.LG2011★ 5 cited

Performance Analysis of Enhanced Clustering Algorithm for Gene Expression Data

T. Chandrasekhar, K. Thangavel, E. Elayaraja

Microarrays are made it possible to simultaneously monitor the expression profiles of thousands of genes under various experimental conditions. It is used to identify the co-expres…