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SADM
2010
141views more  SADM 2010»
12 years 12 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
ECSQARU
2003
Springer
13 years 10 months ago
Computational-Workload Based Binarization and Partition of Qualitative Markov Trees for Belief Combination
Abstract. Binary join trees have been a popular structure to compute the impact of multiple belief functions initially assigned to nodes of trees or networks. Shenoy has proposed t...
Weiru Liu, Xin Hong, Kenneth Adamson
ICCD
2000
IEEE
87views Hardware» more  ICCD 2000»
13 years 9 months ago
Binary and Multi-Valued SPFD-Based Wire Removal in PLA Networks
This paper describes the application of binary and multivalued SPFD-based wire removal techniques for circuit implementations utilizing networks of PLAs. It has been shown that a ...
Subarnarekha Sinha, Sunil P. Khatri, Robert K. Bra...
PRL
1998
142views more  PRL 1998»
13 years 4 months ago
A monothetic clustering method
: The proposed divisive clustering method performs simultaneously a hierarchy of a set of objects and a monothetic characterization of each cluster of the hierarchy. A division is ...
Marie Chavent
TKDE
2002
133views more  TKDE 2002»
13 years 4 months ago
Binary Rule Generation via Hamming Clustering
The generation of a set of rules underlying a classification problem is performed by applying a new algorithm, called Hamming Clustering (HC). It reconstructs the and-or expressio...
Marco Muselli, Diego Liberati