Computer ScienceMathematics

Fuzzy spectral clustering by PCCA+: application to Markov state models and data classification

S. Röblitz, Marcus Weber

2013.5.31Advances in Data Analysis and Classification

DOI: 10.1007/s11634-013-0134-6

tlooto Summary

It is demonstrated in this paper that PCCA+ always delivers an optimal fuzzy clustering for nearly uncoupled, not necessarily reversible, Markov chains with transition states.

Abstract

Abstract is not available.

Citation format

RÖBLITZ, S.; WEBER, Marcus. Fuzzy spectral clustering by PCCA+: Application to markov state models and data classification. Advances in Data Analysis and Classification, 2013, 7: 147–179.