DOCUMENT CLUSTERING ON LARGE-SCALE DATA USING  ULTRA SCALABLE SPECTRAL CLUSTERING AND ENSEMBLE CLUSTERING

DOCUMENT CLUSTERING ON LARGE-SCALE DATA USING ULTRA SCALABLE SPECTRAL CLUSTERING AND ENSEMBLE CLUSTERING
Author(s):
Sandhya R. Jadhav, Prof S. S. Redekar
Keywords:
Data clustering, Large-scale clustering, Spectral clustering, Ensemble clustering, Large-scale datasets
Abstract
Now a days huge amount of information is available, but it is definitely an important task to find relevant information from these. There are many ways to find relevant information from huge amount of data. Automatic data clustering systems play important role in this task. These systems help to find relevant information and also help to organize according to degree of relevancy with the given query. The problem arises to organize data to classify which document are relevant and which are irrelevant. Here propose a two novel algorithms of data clustering using ultra-scalable spectral clustering (USPEC) and ultra-scalable ensemble clustering (U-SENC) apply on huge amount of data. By applying algorithms, we can classify the required data using these algorithms.
Article Details
Unique Paper ID: 152479 Publication Volume & Issue: Volume 8, Issue 3 Page(s): 510 - 516
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