Aplikasi algoritma fuzzy c-means clustering untuk pengelompokan lulusan

Susanto, Sani; Ernawati

dc.contributor.author	Susanto, Sani
dc.contributor.author	Ernawati
dc.date.accessioned	2017-04-10T09:35:46Z
dc.date.available	2017-04-10T09:35:46Z
dc.date.issued	2006
dc.identifier.uri	http://hdl.handle.net/123456789/1351
dc.description	JURNAL TEKNOLOGI INDUSTRI;Vol.10 No.1 Januari 2006	en_US
dc.description.abstract	Graduates as the output o f a university usually be classified by Graduate Point Average (GPA). Clustering graduates based on their GPA and length o f study was done by Ernawati (2003) using one o f crisp clustering algorithms known as the Average Link Clustering. In this research, the fuzzy c-means clustering technique is applied for the same task. The application results in the clear explanation on why certain graduate belongs to certain cluster, and the clear description o f each cluster obtained.	en_US
dc.publisher	Panitia Dies Natalis XXIII Universitas Atma Jaya Yogyakarta	en_US
dc.subject	CLUSTERING	en_US
dc.subject	graduate	en_US
dc.subject	THE FUZZY C-MEANS CLUSTERING TECHNIQUE	en_US
dc.title	Aplikasi algoritma fuzzy c-means clustering untuk pengelompokan lulusan	en_US
dc.type	Journal Articles	en_US