Geodesic
Improvement of clustering by modification of degrees of fuzziness
Nečetkie sistemy i mâgkie vyčisleniâ, Tome 11 (2016) no. 2, pp. 95-101

Voir la notice de l'article provenant de la source Math-Net.Ru

Due to fast growth in technology, conventional classification methods are limited in their ability to support medical diagnostics without introducing considerable ambiguities. Since the conditions are vague in medicine the fuzzy methods may be more helpful rather than crisp ones. Classification depends on number of attributes, number of clusters to be classified and index of the clustering algorithm. Because it is not possible to reduce number of attributes and clusters, therefore changing the index value is a choice to improve performance. The objective of this paper is to analyze the improvement in terms of number of iterations taken, algorithm performance and percentage of correctness of Thyroid samples and wine samples classification by modifying the index of the algorithm.
Keywords: classification, fuzzy clustering, fuzzy c-means, index. 
@article{FSSC_2016_11_2_a1,
     author = {B. Venkataramana and L. Padmasree and M. Srinivasa Rao and D. Latha and G. Ganesan},
     title = {Improvement of clustering by modification of degrees of fuzziness},
     journal = {Ne\v{c}etkie sistemy i m\^agkie vy\v{c}isleni\^a},
     pages = {95--101},
     publisher = {mathdoc},
     volume = {11},
     number = {2},
     year = {2016},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/FSSC_2016_11_2_a1/}
}
TY  - JOUR
AU  - B. Venkataramana
AU  - L. Padmasree
AU  - M. Srinivasa Rao
AU  - D. Latha
AU  - G. Ganesan
TI  - Improvement of clustering by modification of degrees of fuzziness
JO  - Nečetkie sistemy i mâgkie vyčisleniâ
PY  - 2016
SP  - 95
EP  - 101
VL  - 11
IS  - 2
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/FSSC_2016_11_2_a1/
LA  - en
ID  - FSSC_2016_11_2_a1
ER  - 
%0 Journal Article
%A B. Venkataramana
%A L. Padmasree
%A M. Srinivasa Rao
%A D. Latha
%A G. Ganesan
%T Improvement of clustering by modification of degrees of fuzziness
%J Nečetkie sistemy i mâgkie vyčisleniâ
%D 2016
%P 95-101
%V 11
%N 2
%I mathdoc
%U http://geodesic.mathdoc.fr/item/FSSC_2016_11_2_a1/
%G en
%F FSSC_2016_11_2_a1
B. Venkataramana; L. Padmasree; M. Srinivasa Rao; D. Latha; G. Ganesan. Improvement of clustering by modification of degrees of fuzziness. Nečetkie sistemy i mâgkie vyčisleniâ, Tome 11 (2016) no. 2, pp. 95-101. http://geodesic.mathdoc.fr/item/FSSC_2016_11_2_a1/