Clustering Student Learning Activity Data

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.

• Type: Conference
• Year: 2010
• Where: EDM
• Authors: Haiyun Bian
• Keywords: Data Mining, EDM 2010, Student Activity Datasets, Subspace Clustering Algorithms