DATA MINING USING AGGLOMERATIVE MEAN SHIFT CLUSTERING WITH EUCLIDEAN DISTANCE

Abstract

Agglomerative clustering is a non parametric clustering technique. In the present paper an approach agglomerative mean shift clustering applied to a text document using a query compression technique Clustering is presented. Here a distance based technique is developed. Two types of distances one for document and one for Query are made use of. Euclidean distance is used for finding query distance between two terms.The results achieved are comparable to other distance methods showing better time and distance accuracy than the existing system. A method entitled ‘Cluster analysis ’ comprises of a grouping of allied techniques which are used to classify objects or cases of a domain into relatively like groups i.e a cluster. Each Object in a cluster tends to be similar in characteristics and different to objects in other clusters. Analysis done on Clusters is called classification analysis and is based on numerical taxonomy.[1