A Comparative Study on K Means and PAM Algorithm using Physical Characters of Different Varieties of Mango in India

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. General Terms Clustering.