Boris Mirkin. Braverman's Spectrum and Matrix Diagonalization Versus iK-Means: A Unified Framework for Clustering. In Lev I. Rozonoer, Boris G. Mirkin, Ilya Muchnik, editors, Braverman Readings in Machine Learning. Key Ideas from Inception to Current State - International Conference Commemorating the 40th Anniversary of Emmanuil Braverman's Decease, Boston, MA, USA, April 28-30, 2017, Invited Talks. Volume 11100 of Lecture Notes in Computer Science, pages 32-51, Springer, 2017. [doi]
@inproceedings{Mirkin17-0,
title = {Braverman's Spectrum and Matrix Diagonalization Versus iK-Means: A Unified Framework for Clustering},
author = {Boris Mirkin},
year = {2017},
doi = {10.1007/978-3-319-99492-5_2},
url = {https://doi.org/10.1007/978-3-319-99492-5_2},
researchr = {https://researchr.org/publication/Mirkin17-0},
cites = {0},
citedby = {0},
pages = {32-51},
booktitle = {Braverman Readings in Machine Learning. Key Ideas from Inception to Current State - International Conference Commemorating the 40th Anniversary of Emmanuil Braverman's Decease, Boston, MA, USA, April 28-30, 2017, Invited Talks},
editor = {Lev I. Rozonoer and Boris G. Mirkin and Ilya Muchnik},
volume = {11100},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-99492-5},
}