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» Discriminative cluster analysis
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83
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CSDA
2010
105views more  CSDA 2010»
15 years 3 months ago
James-Stein shrinkage to improve k-means cluster analysis
We study a general algorithm to improve accuracy in cluster analysis that employs the James-Stein shrinkage effect in k-means clustering. We shrink the centroids of clusters towar...
Jinxin Gao, David B. Hitchcock
AUSAI
2005
Springer
15 years 9 months ago
Semantic Correlation Network Based Text Clustering
Abstract. Text documents have sparse data spaces, and nearest neighbors may belong to different classes when using current existing proximity measures to describe the correlation ...
Shaoxu Song, Chunping Li
127
Voted
MM
2005
ACM
154views Multimedia» more  MM 2005»
15 years 9 months ago
Determining structure in continuously recorded videos
In this paper, we present a scene detection framework on continuously recorded videos. Conventional temporal scene segmentation methods work for the videos composed of discrete sh...
Yun Zhai, Mubarak Shah
101
Voted
JSA
2006
82views more  JSA 2006»
15 years 3 months ago
A flocking based algorithm for document clustering analysis
ct 7 Social animals or insects in nature often exhibit a form of emergent collective behavior known as flocking. In this paper, 8 we present a novel Flocking based approach for doc...
Xiaohui Cui, Jinzhu Gao, Thomas E. Potok
118
Voted
EDM
2010
129views Data Mining» more  EDM 2010»
15 years 5 months ago
Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers
While students' skill set profiles can be estimated with formal cognitive diagnosis models [8], their computational complexity makes simpler proxy skill estimates attractive [...
Rebecca Nugent, Nema Dean, Elizabeth Ayers