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

( An International Open Access , Peer-reviewed, Refereed Journal )

IJIRTEXPLORE- Search Thousands of research papers

ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

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
Article Preview & Download

Share This Article

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org