DOI:10.20894/IJDMTA.
Periodicity: Bi Annual.
Impact Factor:
SJIF:4.893 & GIF:0.787
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded

News and Updates

Author can submit their paper through online submission. Click here

Paper Submission -> Blind Peer Review Process -> Acceptance -> Publication.

On an average time is 3 to 5 days from submission to first decision of manuscripts.

Double blind review and Plagiarism report ensure the originality

IJDMTA provides online manuscript tracking system.

Every issue of Journal of IJDMTA is available online from volume 1 issue 1 to the latest published issue with month and year.

Paper Submission:
Any Time
Review process:
One to Two week
Journal Publication:
June / December

IJDMTA special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJDMTA website. For complete procedure, contact us at admin@iirgroups.org

Paper Template
Copyright Form
Subscription Form
web counter
web counter
Published in:   Vol. 3 Issue 2 Date of Publication:   December 2014

Clustering Lung Cancer Data by k-Means and k-Medoids Algorithms

T. Velmurugan,A.Dharmarajan

Page(s):   95-98 ISSN:   2278-2397
DOI:   10.20894/IJDMTA.102.003.002.009 Publisher:   Integrated Intelligent Research (IIR)


  1. De Souto MC1, Costa IG, de Araujo DS, Ludermir TB, Schliep A,   "Clustering cancer gene expression data: a comparative study",   BMC Bioinformatics   ,2008
    View Artical

  2. Evgenia Dimitriadou, Markus Barth, Christian Windischberger, Kurt Hornik and Ewald Moser,   "A quantitative comparison of functional MRI cluster analysis",   Artificial intelligence in medicine   ,Vol.31   ,2004
    View Artical

  3. Greene D., Tsymbal, A., Bolshakova N and Cunningham. P,   "Ensemble clustering in Medical Diagnostics in Computer-Based Medical Systems",   CBMS Proceedings,   ,2004
    View Artical

  4. Ghosh, Soumi, and Sanjay Kumar Dubey,   "Comparative Analysis of KMeans and Fuzzy C-Means Algorithms",   IJACSA   ,Vol.4   ,Issue 4   ,2013
    View Artical

  5. H.Ming-Chuan,   "An efficient fuzzy c-means clustering algorithm",   In Proceedings of IEEE International Conference on   ,2001
    View Artical

  6. Hapfelmeier A, Schmidt J, Mueller M, Karmer S, Perneczky R, Kurz A,Drzezga A,   "Interpreting PET scans by structured patient data: a data mining case study in dementia research",   Knowledge and Information Systems   ,2010
    View Artical

  7. Kai-Hsiang chuang, Ming-Jang chiu, Chung-Chih Lin Jyh-Horng Chen,   "Model-free functional MRI analysis using Kohonen clustering neural network and fuzzy C-means",   IEEE Transactions on Medical Imaging   ,Vol.18   ,Issue 12   ,1999
    View Artical

  8. Kanungo, T, Mount, D. M, Netanyahu, N. S., Piatko, C. D, Silverman, R.& Wu, A. Y,   "A local search approximation algorithm for k-means clustering",   18th Annual ACM Symposium on Computational Geometr   ,2002
    View Artical

  9. K Sravya and S.Vaseem Akram,   "Medical Image by using the Pillar Kmeans Algorithm",   International Journal of Advanced Engineering Tech   ,2013
    View Artical

  10. Manish Verma, Mauly Srivastava, Neha Chack, Atul Kumar Diswar,Nidhi Gupta,   "A Comparative Study of Various Clustering Algorithms in Data Mining",   International Journal of Engineering Research and    ,Vol.2   ,Issue 3   ,2012
    View Artical

  11. Masulli, Francesco and Andrea Schenone,   "A fuzzy clustering based segmentation system as support to diagnosis in medical imaging",   Artificial Intelligence in Medicine   ,Vol.16   ,Issue 2   ,1999
    View Artical

  12. Nidal M, Christoph.F,   "K-medoid-style Clustering Algorithms for Supervised Summary Generation",   in Proc. of the International Conference on Machin   ,2004
    View Artical

  13. Srinivasa Perumal. R, R.Sujatha,   "Analysis of Colon Cancer Dataset using K-Means based Algorithms & See5 Oriental Algorithms",   IJCST   ,Vol.2   ,Issue 4   ,2011
    View Artical

  14. Sujatha, N and K. Iyakutty,   "Refinement of Web usage Data Clustering from K-means with Genetic Algorithm",   European Journal of Scientific Research   ,2010
    View Artical

  15. Subbiah, Balasubramanian, Seldev C. Christopher,   "Image Classification through integrated K- Means Algorithm",   International Journal of Computer Science   ,Vol.9   ,Issue 2   ,2012
    View Artical

  16. Senguttuvan A, Krishna Pramodh D and Rao Venugopal K,   "Performance Analysis of Extended Shadow Clustering Techniques and Binary Data Sets Using K ? means C",   IJARCSSE   ,Vol.2   ,Issue 8   ,2012
    View Artical

  17. Schilham, A. ; Prokop, M. ; van Ginneken, B,   "Computer analysis of computed tomography scans of the lung: a survey",   Medical Imaging, IEEE Transactions   ,Vol.25   ,Issue 4   ,2006
    View Artical

  18. Velmurugan,T and T.Santhanam,   "Computational Complexity between k-Means and k-Medoids clustering algorithms for normal and uniform ",   Journal of Computer Science   ,Vol.6   ,Issue 3   ,2012
    View Artical

  19. Velmurugan. T,   "Efficiency of k-Means and K- Medoids Algorithms for Clustering Arbitrary Data Points",   International Journal of Computer Technology & App   ,Vol.3   ,Issue 5   ,2012
    View Artical

  20. Yang, Miin-Shen, Yu-Jen Hu, Karen Chia-Ren Lin, Charles Chia-Lee Li,   "Segmentation techniques for tissue differentiation in MRI of ophthalmology using fuzzy clustering al",   Magnetic Resonance Imaging   ,Vol.20   ,Issue 2   ,2002
    View Artical