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» Robust Hierarchical Clustering
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EDM
2010
129views Data Mining» more  EDM 2010»
13 years 9 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
SIGIR
2000
ACM
13 years 12 months ago
An investigation of linguistic features and clustering algorithms for topical document clustering
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
Vasileios Hatzivassiloglou, Luis Gravano, Ankineed...
IWQOS
2004
Springer
14 years 1 months ago
Robust communications for sensor networks in hostile environments
— Clustering sensor nodes increases the scalability and energy efficiency of communications among them. In hostile environments, unexpected failures or attacks on cluster heads ...
Ossama Younis, Sonia Fahmy, Paolo Santi
EGPGV
2004
Springer
143views Visualization» more  EGPGV 2004»
14 years 1 months ago
Massive Data Pre-Processing with a Cluster Based Approach
Data coming from complex simulation models reach easily dimensions much greater than available computational resources. Visualization of such data still represents the most intuit...
Rita Borgo, Valerio Pascucci, Roberto Scopigno
CVPR
1998
IEEE
14 years 9 months ago
Video Scene Segmentation via Continuous Video Coherence
In extended video sequences, individual frames are grouped into shots which are defined as a sequence taken by a single camera, and related shots are grouped into scenes which are...
John R. Kender, Boon-Lock Yeo