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Intelligent Clustering Engine Solution for Desktop Usability

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Prajakta Pawar, Sushopti Gawade, Sharvari Govilkar

Prajakta Pawar, Sushopti Gawade and Sharvari Govilkar. Intelligent Clustering Engine Solution for Desktop Usability. International Journal of Computer Applications 148(13):7-11, August 2016. BibTeX

	author = {Prajakta Pawar and Sushopti Gawade and Sharvari Govilkar},
	title = {Intelligent Clustering Engine Solution for Desktop Usability},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2016},
	volume = {148},
	number = {13},
	month = {Aug},
	year = {2016},
	issn = {0975-8887},
	pages = {7-11},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2016911086},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


ICE stands for Intelligent Clustering Engine. Term weighted similarity measure algorithm, phrase matching algorithm and Document Index Graph Based Clustering algorithm are the algorithms of the project ‘Intelligent Clustering Engine Solution for Desktop Usability”. The Engine is based on SAGH methodology. SAGH stands for Genetic Analytical System for Grouping Hypertext. The stages in SAGH are pre-processing, matrix formation, vectors, clustering, visualization, and output. Visualization enhancement is one of the Usability characteristic that has been enhanced within the proposed system Intelligent Clustering Engine. The paper focuses upon implementing the document clustering application over desktop to improvise usability.


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Intelligent Clustering Engine, Clustering, Usability, Carrot2, Document Clustering