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. 7 Issue 1 Date of Publication:   June 2018

Efficiency of k-Means and k-Medoids Clustering Algorithms using Lung Cancer Dataset

A.Dharmarajan,T.Velmurugan

Page(s):   03-10 ISSN:   2278-2397
DOI:   10.20894/IJDMTA.102.007.001.002 Publisher:   Integrated Intelligent Research (IIR)


  1. ?Ahmed, Kawsar, Tasnuba Jesmin, and MdZamilurRahman.,   "Early Prevention and Detection of Skin Cancer Risk using Data Mining",   International Journal of Computer Applications   ,2013
    View Artical

  2. AnoopKumarJain,Prof.SatyamMaheswari ,   "Surveyof RecentClusteringTechniquesinDataMining",    International Journal of Computer Science and Man   ,2012
    View Artical

  3. Chaudhari, Bharat, Manan Parikh.,   "A Comparative Study of clustering algorithms Usingweka tools.",   ?International Journal of Application or Innovatio   ,Vol.1   ,Issue 2   ,2012
    View Artical

  4. Chiang, Ming-Chao, Chun-Wei Tsai, and Chu-Sing Yang.,   "A time-efficient pattern reduction algorithm for k-Means clustering",   Information Sciences?   ,Vol.181   ,Issue 4   ,2011
    View Artical

  5. Mann,AmandeepKaur, and NavneetKaur,   "Survey paper on clustering techniques.",   International Journal of Science, Engineering and    ,Vol.2   ,2013
    View Artical

  6. Niknam, Taher, et al.,   "An efficient hybrid algorithm based on modified imperialist competitive algorithm and K-means for data clustering.",   Engineering Applications of Artificial Intelligenc   ,Vol.24   ,Issue 2   ,2011
    View Artical

  7. Rajan, Juliet Rani, and C. ChilambuChelvan,   "A survey on mining techniques for early lung cancer diagnoses",   Green Computing, Communication and Conservation of   ,2013
    View Artical

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

  9. Schmid K, Kuwert T, Drexler H,   "Radon in indoor spaces: an underestimated risk factor for lung cancer in environmental medicine",   DtschArzteblInt   ,Vol.107   ,2010
    View Artical

  10. Singh, ChinnappanRavinder, and KandasamyKathiresan.,   "Molecular understanding of lung cancers?A review",   Asian Pacific journal of tropical biomedicine   ,Vol.4   ,2014
    View Artical

  11. Smith L, Brinton LA, Spitz MR,   "Body mass index and risk of lung cancer among never, former, and current smokers",   ,Natl Cancer Inst   ,Vol.104   ,2012
    View Artical

  12. Thangaraju, P., G. Barkavi.,   "Lung Cancer Early Diagnosis Using Some Data Mining Classification Techniques: A Survey.",   Compusoft   ,Vol.3   ,Issue 6   ,2014
    View Artical

  13. Velmurugan, T. ,   "Performance based analysis between k-Means and Fuzzy C-Means clustering algorithms for connection oriented telecommunication data.",   Applied Soft Computing   ,Vol.19   ,2014
    View Artical

  14. 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

  15. Vega-Pons, Sandro, and Jos? Ruiz-Shulcloper.,   "A survey of clustering ensemble algorithms",   International Journal of Pattern Recognition and A   ,Vol.25   ,Issue 3   ,2011
    View Artical

  16. Yoo, I., Alafaireet, P., Marinov, M., Pena-Hernandez, K., Gopidi, R., Chang, J. F., &Hua, L.,   "Data mining in healthcare and biomedicine: a survey of the literature.",   Journal of medical systems   ,Vol.36   ,Issue 4   ,2012
    View Artical

  17. Zhu, Chang-Qi, et al,   "Prognostic and predictive gene signature for adjuvant chemotherapy in resected non?small-cell lung cancer",   Journal of Clinical Oncology   ,Vol.28   ,Issue 29   ,2010
    View Artical

  18. Zheng, Bichen, Sang Won Yoon, and Sarah S. Lam,   "Breast cancer diagnosis based on feature extraction using a hybrid of K-Means and support vector machine algorithms",   Expert Systems with Applications   ,Vol.41   ,Issue 4   ,2014
    View Artical