A Quantum-Statistical-Mechanical Extension of Gaussian Mixture Model
2008
Article
ei
We propose an extension of Gaussian mixture models in the statistical-mechanical point of view. The conventional Gaussian mixture models are formulated to divide all points in given data to some kinds of classes. We introduce some quantum states constructed by superposing conventional classes in linear combinations. Our extension can provide a new algorithm in classifications of data by means of linear response formulas in the statistical mechanics.
Author(s): | Tanaka, K. and Tsuda, K. |
Journal: | Journal of Physics: Conference Series |
Volume: | 95 |
Number (issue): | 012023 |
Pages: | 1-9 |
Year: | 2008 |
Month: | January |
Day: | 0 |
Department(s): | Empirical Inference |
Bibtex Type: | Article (article) |
Digital: | 0 |
DOI: | 10.1088/1742-6596/95/1/012023 |
Language: | en |
Organization: | Max-Planck-Gesellschaft |
School: | Biologische Kybernetik |
Links: |
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BibTex @article{5112, title = {A Quantum-Statistical-Mechanical Extension of Gaussian Mixture Model}, author = {Tanaka, K. and Tsuda, K.}, journal = {Journal of Physics: Conference Series}, volume = {95}, number = {012023}, pages = {1-9}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, month = jan, year = {2008}, doi = {10.1088/1742-6596/95/1/012023}, month_numeric = {1} } |