• G.Vijayalakshmi
• Dr.M.Karthikeyan

Document clustering (or)text clustering in the application of cluster analysis to textual documents. It have application in automatic document organization fast information and retrieval or filtering. One of the most commonly used variants. It defines as the average dissimilarity between dissimilarity clusters(its name). the WPGMA produces in a simple averaging weighted result and proportional averaging document clustering produces un-weighted result. Numerical tests data are used carried out on synthetic for comparing different new algorithm generated approximation the certain approximations obtained by classical method. In this paper we proposed method called concept factorization adaptive neighbors, (concept factorization with adaptive neighbors). The idea of concept factorization with adaptive neighbors I to integrate an adaptive neighbors regularization constraint into the concept factorization decomposition. The goal of concept factorization adaptive neighbors is to extract the representation space that maintains geometrical neighborhood structure of the data. It is similar to the existing graph-regularized concept factorization, concept factorization with adaptive neighbors builds a neighbors graph weights matrix. The key difference is that the concept factorization adaptive neighbors performs dimensionality reduction and finds the neighbor graph weights matrix simultaneously. An efficient algorithm derived to solve the proposed problem. We apply the proposed method to solve the problem of document clustering on the 20 newsgroups, reuters-21578,and TDT2 document data sets. Our experiments demonstrate the effectiveness of the method.

Document Clustering , Weighted Matrix, Concept Factorization, WPGMA

"WEIGHTED PAIR GROUP METHOD ARITHMETIC TECHNIQUE FOR DOCUMENT CLUSTERING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.44-49, January-2019, Available :http://www.jetir.org/papers/JETIR1901806.pdf

"WEIGHTED PAIR GROUP METHOD ARITHMETIC TECHNIQUE FOR DOCUMENT CLUSTERING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp44-49, January-2019, Available at : http://www.jetir.org/papers/JETIR1901806.pdf