STUDENTS PERFORMANCE ANALYZATION USING K-MEANS CLUSTERING

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DC Field	Value	Language
dc.contributor.author	M, Rajeshwari	-
dc.contributor.author	S, Madhumitha	-
dc.date.accessioned	2020-06-17T10:54:36Z	-
dc.date.available	2020-06-17T10:54:36Z	-
dc.date.issued	2019-12	-
dc.identifier.issn	0374-8588	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/223	-
dc.description.abstract	The process of clustering means that the grouping of items which are of similar characteristics into subsets in which each of them would have varied characteristics. Few of the problems faced by an educational institution are the impact of parent’s education on the child, and the management of extra – curricular activities with academics and that’s where an analysis on students performance using clustering methods were done. It is widely used for large volume of data. K-means is the algorithm which is going to be used in this paper, it is an analysis which makes clusters based on the k – centroid. It is useful in analyzing all the three questions given above.	en_US
dc.language.iso	en	en_US
dc.publisher	Journal of The Gujarat Research Society	en_US
dc.subject	clustering algorithm	en_US
dc.subject	k- means	en_US
dc.subject	management	en_US
dc.subject	centroid.	en_US
dc.title	STUDENTS PERFORMANCE ANALYZATION USING K-MEANS CLUSTERING	en_US
dc.type	Article	en_US
Appears in Collections:	International Journals

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