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14

EDM
2010

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Clustering Student Learning Activity Data

13 years 6 months ago

Clustering Student Learning Activity Data

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We show a variety of ways to cluster student activity datasets using different clustering and subspace clustering algorithms. Our results suggest that each algorithm has its own strength and weakness, and can be used to find clusters of different properties.

Haiyun Bian

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Data Mining | EDM 2010 | Student Activity Datasets | Subspace Clustering Algorithms |

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Added	29 Oct 2010
Updated	29 Oct 2010
Type	Conference
Year	2010
Where	EDM
Authors	Haiyun Bian

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