DOCUMENTS CLUSTERING USING K-MEANS ALGORITHM

Wahyu, R.B; Arnold Vito

dc.contributor.author	Wahyu, R.B
dc.contributor.author	Arnold Vito
dc.date.accessioned	2021-08-10T04:16:16Z
dc.date.available	2021-08-10T04:16:16Z
dc.date.issued	2018
dc.identifier.issn	2503-2224
dc.identifier.uri	http://repository.president.ac.id/xmlui/handle/123456789/3605
dc.description	IT FOR SOCIETY; VOL 3, NO.2 (2018).	en_US
dc.description.abstract	Nowadays in the digital era, people could easily access and stored a wide range of information through the Internet into documents. With the huge number of unstructured documents with various type of information in digital storage, people need an application that could help them organize and classify the documents automatically. Documents Clustering using K-Means Algorithm is a desktop-based documents clustering application which implement K-Means Algorithm to provides clustering output based on the documents content similarity up to 85% accuracy based on the user expectation.	en_US
dc.language.iso	en_US	en_US
dc.publisher	President University	en_US
dc.title	DOCUMENTS CLUSTERING USING K-MEANS ALGORITHM	en_US
dc.type	Journal Article	en_US