A two-phase educational data clustering method based on transfer learning and kernel K-means

Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/469

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DC Field	Value	Language
dc.contributor.author	Võ, Thị Ngọc Châu
dc.contributor.author	Nguyễn, Hứa Phụng
dc.date.accessioned	2018-04-18T02:56:51Z	-
dc.date.available	2018-04-18T02:56:51Z	-
dc.date.issued	2017
dc.identifier.issn	2525-2224
dc.identifier.uri	http://172.18.63.105/jspui/handle/123456789/469	-
dc.description.abstract	In this paper, we propose a two-phase educational data clustering method using transfer learning and kernel k-means algorithms for the student data clustering task on a small target data set from a target program while a larger source data set from another source program is available.	vi_VN
dc.language.iso	en	vi_VN
dc.relation.ispartofseries	Tạp chí Khoa học Công nghệ Thông tin và Truyền thông;Số 02+03 .- Tr.49-62
dc.subject	Educational data clustering	vi_VN
dc.subject	Kernel k-means	vi_VN
dc.subject	Transfer learning	vi_VN
dc.subject	Unsupervised domain adaptation	vi_VN
dc.subject	Kernel-induced Euclidean distance	vi_VN
dc.title	A two-phase educational data clustering method based on transfer learning and kernel K-means	vi_VN
dc.type	Article	vi_VN
Appears in Collections:	Khoa học Công nghệ Thông tin và Truyền thông

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