no code implementations • 9 May 2015 • Hansi Jiang, Carl Meyer
This paper develops the exact linear relationship between the leading eigenvector of the unnormalized modularity matrix and the eigenvectors of the adjacency matrix.
no code implementations • 19 Oct 2015 • Hansi Jiang, Carl Meyer
In this paper the exact linear relation between the leading eigenvectors of the modularity matrix and the singular vectors of an uncentered data matrix is developed.
no code implementations • 17 Feb 2016 • Deovrat Kakde, Arin Chaudhuri, Seunghyun Kong, Maria Jahja, Hansi Jiang, Jorge Silva
For example, it is observed that with a Gaussian kernel, as the value of kernel bandwidth is lowered, the data boundary changes from spherical to wiggly.
no code implementations • 16 Jun 2016 • Arin Chaudhuri, Deovrat Kakde, Maria Jahja, Wei Xiao, Hansi Jiang, Seunghyun Kong, Sergiy Peredriy
Support Vector Data Description (SVDD) is a popular outlier detection technique which constructs a flexible description of the input data.
1 code implementation • 1 Sep 2017 • Hansi Jiang, Haoyu Wang, Wenhao Hu, Deovrat Kakde, Arin Chaudhuri
Each iteration involves only the existing support vectors and the new data point.
no code implementations • 15 Nov 2018 • Arin Chaudhuri, Carol Sadek, Deovrat Kakde, Wenhao Hu, Hansi Jiang, Seunghyun Kong, Yuewei Liao, Sergiy Peredriy, Haoyu Wang
Support vector data description (SVDD) is a popular anomaly detection technique.