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Making kernel-based vector quantization robust and effective for incomplete educational data clustering

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Making kernel-based vector quantization robust and effective for incomplete educational data clustering

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Nowadays, knowledge discovered from educational data sets plays an important role in educational decision making support. One kind of such knowledge that enables us to get insights into our students’ characteristics is cluster models generated by a clustering task.

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Nội dung Text: Making kernel-based vector quantization robust and effective for incomplete educational data clustering

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