APPLICATION OF CLUSTERING TECHNIQUES TO STUDY THE TRAINING PATTERN PROVIDED BY THE DIFFERENT INSTITUTES UNDER HSRT

In Social science researches of modern times, clustering techniques play an important role. Some common broad areas and also some specialized areas in which clustering has been successfully implemented are Science and Technology, Social Sciences, Humanities, Engineering, Medical Science, Data mining, Machine Learning, Pattern recognition, Image analysis, Information retrieval and Management. In this paper an effort has been made to apply common clustering techniques like Hierarchical Agglomerative Clustering and K-mean clustering in analysing the training types and patterns of different training institutes under HSRT i.e., “Hunar Se Rozgar Tak”, a special initiative of Ministry of Tourism, Government of India. Secondary data related to four different courses offered under HSRT by different training institutes of India has been collected from progress report for HSRT. The said data has been subjected to different clustering techniques with the view to reveal and analyze various underlying facts like similarity or differences between the training patterns, the role of time in changing the training pattern, impact of Geographical position, modification and alteration of training infrastructure etc.