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A Comparative Study on K Means and PAM Algorithm using Physical Characters of Different Varieties of Mango in India
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 78 - Number 5 |
| Year of Publication: 2013 |
| Authors: Bhaskar Mondal, J. Paul Choudhury |
10.5120/13485-1189
|
Bhaskar Mondal, J. Paul Choudhury . A Comparative Study on K Means and PAM Algorithm using Physical Characters of Different Varieties of Mango in India. International Journal of Computer Applications. 78, 5 ( September 2013), 21-24. DOI=10.5120/13485-1189
Abstract
Clustering is the most important and popular technique for finding pattern and relationships in databases. In this paper a comparative study has been done on the clustering techniques like k-means and k-mediod (PAM) with difference distance measures to classify the different varieties of mango based on physical characters of fruit. As the purity of result of a clustering algorithm depend upon the distance measure technique used in that algorithm we have validate the result using different distance measure also. Classification of agricultural data is still remains a challenge due to its high dimension and noise. This type of study may be helpful for the agricultural research as well as for the field of science and technology.
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