• Chitrada Hemanth Krishna
• Dr.M.Rama Krishna Murthy
• G.Dinesh
• R.Bhagya Sree
• K.Ananth Ramayya

A clustering ensemble algorithm aims to combine multiple clustering techniques to produce a better result than an individual clustering algorithm in this paper we describe a novel approach to clustering of text data. Text clustering is a technique through which text documents are divided into a particular number of groups so that the text documents within each group are related in content for these purposes we use two different clustering algorithms k-means and Birch Algorithm. Before using these algorithms, we perform the pre-processing of the documents Preprocessing techniques used are Stopword removal, pruning, stemming, Document representation-Vector Space model, after performing the preprocessing of the documents inverse document frequency (IDF) has been achieved. These achieved IDF is used as an input to the clustering algorithms k-means and Birch. The common weighing scheme is TF-IDF (Term Frequency-Inverse Document Frequency),it has been found that the new weighting scheme word to vector provide better results than TF_IDF. We aim at applying the text clustering to articles like in newspaper using Word to Vector scheme to calculate the terms weight in the document vector. In this project the idea of ensemble text clustering of majority voting is used. ___________________________________________________________

K-means, Birch, Word to Vector, Pre-processing.

"A new framework for ensembling of text clustering of data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.774-781, April-2020, Available :http://www.jetir.org/papers/JETIR2004101.pdf

"A new framework for ensembling of text clustering of data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp774-781, April-2020, Available at : http://www.jetir.org/papers/JETIR2004101.pdf