Isolation Distributional Kernel: A New Tool for Point & Group Anomaly Detection

1 code implementation • 24 Sep 2020 • Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou

Existing approaches based on kernel mean embedding, which convert a point kernel to a distributional kernel, have two key issues: the point kernel employed has a feature map with intractable dimensionality; and it is {\em data independent}.

Group Anomaly Detection