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Autor:
Ina, Takuro, Hashimoto, Atsushi, Iiyama, Masaaki, Kasahara, Hidekazu, Mori, Mikihiko, Minoh, Michihiko
Outlier detection and cluster number estimation is an important issue for clustering real data. This paper focuses on spectral clustering, a time-tested clustering method, and reveals its important properties related to outliers. The highlights of th
Externí odkaz:
http://arxiv.org/abs/1703.01028
