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- Amir Alush, Avishay Friedman, Jacob Goldberger
- Neurocomputing
- 2016

Pairwise clustering methods partition a dataset using pairwise similarity between data-points. The pairwise similarity matrix can be used to define a Markov random walk on the data points. This view forms a probabilistic interpretation of spectral clustering methods. We utilize this probabilistic model to define a novel clustering cost function that is… (More)

- Avishay Friedman, Jacob Goldberger
- SIMBAD
- 2013

In this paper we develop an information-theoretic approach for pairwise clustering. The Laplacian of the pairwise similarity matrix can be used to define a Markov random walk on the data points. This view forms a probabilistic interpretation of spectral clustering methods. We utilize this probabilistic model to define a novel clustering cost function that… (More)

- Boris Kulik, Alexander Zuenko, Avishay Friedman
- Scientific and Technical Information Processing
- 2015

Application of a unified classical approach to the modeling and analysis of both deductive and defeasible reasoning developed by the authors on the basis of n-tuple algebra is demonstrated. A method of analysis of defeasible reasoning transferring the “non-classical” component to the semantics and allowing carrying out logical analysis without violating the… (More)

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