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SOCIALCOM
2010
15 years 4 months ago
Measuring Similarity between Sets of Overlapping Clusters
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
Mark K. Goldberg, Mykola Hayvanovych, Malik Magdon...
ICML
2004
IEEE
16 years 7 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He
WWW
2004
ACM
16 years 7 months ago
KnowledgeTree: a distributed architecture for adaptive e-learning
This paper presents KnowledgeTree, an architecture for adaptive E-Learning based on distributed reusable intelligent learning activities. The goal of KnowledgeTree is to bridge th...
Peter Brusilovsky
JCDL
2006
ACM
104views Education» more  JCDL 2006»
16 years 7 days ago
Template-based authoring of educational artifacts
The Walden’s Paths project is developing tools for leveraging student learning with the incredible amount of educational material on the Web. Specialized templates based on esta...
Sarah Davis, Paul Logasa Bogen II, Lauren Cifuente...
CSCW
2004
ACM
15 years 11 months ago
Emergent networks, locus of control, and the pursuit of social capital
In this paper we examine the relationship between emergent social network characteristics in a computer-supported collaborative learning course and locus of control. An emergent c...
Michael Stefanone, Jeffrey T. Hancock, Geri Gay, A...