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

Sandhya R. Jadhav; Prof S. S. Redekar

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

Authors: Sandhya R. Jadhav, Prof S. S. Redekar

Unique Paper ID: 152479
Volume: 8
Issue: 3
PageNo: 510-516

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.

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ISSN: 2349-6002
Volume: 8
Issue: 3
PageNo: 510-516

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

Available:https://ijirt.org/Article?manuscript=152479

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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