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A two phase educational data clustering method based on transfer learning and kernel K-means
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Thông tin tài liệu:
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.
Nội dung trích xuất từ tài liệu:
A two phase educational data clustering method based on transfer learning and kernel K-means
Nội dung trích xuất từ tài liệu:
A two phase educational data clustering method based on transfer learning and kernel K-means
Tìm kiếm theo từ khóa liên quan:
Educational data clustering Kernel kmeans Transfer learning Unsupervised domain adaptation Kernel-induced Euclidean distanceTài liệu có liên quan:
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