S. R. Kannan

Affiliations:
  • Pondicherry University, India


According to our database1, S. R. Kannan authored at least 23 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Online presence:

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Bibliography

2021
The invention of new sequences through classifying and counting fuzzy matrices.
Soft Comput., 2021

Penalty term based suitable fuzzy intuitionistic possibilistic clustering: analyzing high dimensional gene expression cancer database.
Soft Comput., 2021

2017
Effective fuzzy possibilistic c-means: an analyzing cancer medical database.
Soft Comput., 2017

2015
Robust fuzzy clustering algorithms in analyzing high-dimensional cancer databases.
Appl. Soft Comput., 2015

Effective Fuzzy Possibilistic C-Means: An Analyzing Cancer Medical Database.
Proceedings of the ASE BigData & SocialInformatics 2015, 2015

Fuzzy Clustering Systems in Analyzing High Dimensional Database.
Proceedings of the ASE BigData & SocialInformatics 2015, 2015

2014
Robust fuzzy clustering techniques for analyzing complicated colon cancer database.
J. Intell. Fuzzy Syst., 2014

2013
Extended fuzzy c-means: an analyzing data clustering problems.
Clust. Comput., 2013

Novel Quadratic Fuzzy <i>c</i>-Means Algorithms for Effective Data Clustering Problems.
Comput. J., 2013

Effective FCM noise clustering algorithms in medical images.
Comput. Biol. Medicine, 2013

2012
Strong fuzzy c-means in medical image data analysis.
J. Syst. Softw., 2012

Improved Fuzzy Clustering Algorithms in Segmentation of DC-enhanced breast MRI.
J. Medical Syst., 2012

Effective fuzzy c-means clustering algorithms for data clustering problems.
Expert Syst. Appl., 2012

2011
Effective fuzzy clustering techniques for segmentation of breast MRI.
Soft Comput., 2011

Modified fuzzy c-means algorithm for segmentation of T1-T2-weighted brain MRI.
J. Comput. Appl. Math., 2011

Robust kernel FCM in segmentation of breast medical images.
Expert Syst. Appl., 2011

2010
Modified Bias Field Fuzzy C-Means for Effective Segmentation of Brain MRI.
Trans. Comput. Sci., 2010

Novel segmentation algorithm in segmenting medical images.
J. Syst. Softw., 2010

Effective fuzzy c-means based kernel function in segmenting medical images.
Comput. Biol. Medicine, 2010

2009
New Robust Fuzzy C-Means Based Gaussian Function in Classifying Brain Tissue Regions.
Proceedings of the Contemporary Computing - Second International Conference, 2009

Robust Fuzzy C-Means in Classifying Breast Tissue Regions.
Proceedings of the ARTCom 2009, 2009

Effective Fuzzy C-mean Clustering Technique for Segmentation of T1-T2 Brain MRI.
Proceedings of the ARTCom 2009, 2009

2008
A new segmentation system for brain MR images based on fuzzy techniques.
Appl. Soft Comput., 2008


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