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multi assignment clustering of Boolean data 2.001
by mafrank - March 3, 2012, 09:04:04 CET [
]
view (8 today), download ( 1 today ), 2 comments, 0 subscriptions
- Description:
The program takes a binary matrix as an input and factorizes it into two binary matrices such that their Boolean matrix product is an approximation of the input matrix.
The optimization uses an annealed EM scheme to maximize the likelihood of the latent feature model described in our paper.
Originally, we developed our model and code to solve the role mining problem from the field of information theory. However, it could be used to approximately factorize any binary matrix. This is useful for database tiling, the set basis problem, market basket analysis and other problems.
Please contact us if you have comments or questions.
- Changes to previous version:
new bib added
- BibTeX Entry: Download
- Corresponding Paper BibTeX Entry: Download
- Supported Operating Systems: Agnostic
- Data Formats: Matlab
- Tags: Clustering, Binary, Boolean Data, Latent Feature Model
- Archive: download here
Comments
-
- Mario Frank (on August 17, 2011, 16:20:00)
- hello world
-
- Mario Frank (on August 17, 2011, 16:26:25)
- text polished a bit
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Project details for multi assignment clustering of Boolean data
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Details
- Version:
- 2.001
- Submitter:
- mafrank
- Author(s):
- Mario Frank , Andreas P. Streich
- Posted:
- 3 March 2012
- Last Updated:
- 3 March 2012
- Open Source License:
- gpl version 3 or later
- Programming Language(s):
- matlab