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SADM
2010
141views more  SADM 2010»
15 years 1 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
TIME
1997
IEEE
15 years 10 months ago
On Effective Data Clustering in Bitemporal Databases
Temporal databases provide built-in supports for efficient recording and querying of time-evolving data. In this paper, data clustering issues in temporal database environment are...
Jong Soo Kim, Myoung-Ho Kim
BMEI
2008
IEEE
15 years 8 months ago
Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
ICDCS
2011
IEEE
14 years 5 months ago
Smart Redundancy for Distributed Computation
Many distributed software systems allow participation by large numbers of untrusted, potentially faulty components on an open network. As faults are inevitable in this setting, th...
Yuriy Brun, George Edwards, Jae Young Bang, Nenad ...
MMDB
2004
ACM
151views Multimedia» more  MMDB 2004»
15 years 11 months ago
Indexing of variable length multi-attribute motion data
Haptic data such as 3D motion capture data and sign language animation data are new forms of multimedia data. The motion data is multi-attribute, and indexing of multiattribute da...
Chuanjun Li, Gaurav N. Pradhan, Si-Qing Zheng, B. ...