Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers

@inproceedings{Nugent2010SkillSP,
  title={Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers},
  author={Rebecca Nugent and Nema Dean and Elizabeth Ayers},
  booktitle={EDM},
  year={2010}
}
While students’ skill set profiles can be estimated with formal cognitive diagnosis models [8], their computational complexity makes simpler proxy skill estimates attractive [1, 4, 6]. These estimates can be clustered to generate groups of similar students. Often hierarchical agglomerative clustering or k-means clustering is utilized, requiring, forK skills… CONTINUE READING