Picture for Minh Tang

Minh Tang

On a 'Two Truths' Phenomenon in Spectral Graph Clustering

Add code
Sep 07, 2018
Figure 1 for On a 'Two Truths' Phenomenon in Spectral Graph Clustering
Figure 2 for On a 'Two Truths' Phenomenon in Spectral Graph Clustering
Figure 3 for On a 'Two Truths' Phenomenon in Spectral Graph Clustering
Figure 4 for On a 'Two Truths' Phenomenon in Spectral Graph Clustering
Viaarxiv icon

A statistical interpretation of spectral embedding: the generalised random dot product graph

Add code
Jul 29, 2018
Figure 1 for A statistical interpretation of spectral embedding: the generalised random dot product graph
Figure 2 for A statistical interpretation of spectral embedding: the generalised random dot product graph
Figure 3 for A statistical interpretation of spectral embedding: the generalised random dot product graph
Figure 4 for A statistical interpretation of spectral embedding: the generalised random dot product graph
Viaarxiv icon

The eigenvalues of stochastic blockmodel graphs

Add code
Mar 30, 2018
Figure 1 for The eigenvalues of stochastic blockmodel graphs
Figure 2 for The eigenvalues of stochastic blockmodel graphs
Viaarxiv icon

Linear Optimal Low Rank Projection for High-Dimensional Multi-Class Data

Add code
Feb 27, 2018
Figure 1 for Linear Optimal Low Rank Projection for High-Dimensional Multi-Class Data
Figure 2 for Linear Optimal Low Rank Projection for High-Dimensional Multi-Class Data
Figure 3 for Linear Optimal Low Rank Projection for High-Dimensional Multi-Class Data
Figure 4 for Linear Optimal Low Rank Projection for High-Dimensional Multi-Class Data
Viaarxiv icon

Statistical inference on random dot product graphs: a survey

Add code
Sep 16, 2017
Figure 1 for Statistical inference on random dot product graphs: a survey
Figure 2 for Statistical inference on random dot product graphs: a survey
Figure 3 for Statistical inference on random dot product graphs: a survey
Figure 4 for Statistical inference on random dot product graphs: a survey
Viaarxiv icon

Semiparametric spectral modeling of the Drosophila connectome

Add code
May 09, 2017
Figure 1 for Semiparametric spectral modeling of the Drosophila connectome
Figure 2 for Semiparametric spectral modeling of the Drosophila connectome
Figure 3 for Semiparametric spectral modeling of the Drosophila connectome
Figure 4 for Semiparametric spectral modeling of the Drosophila connectome
Viaarxiv icon

Community Detection and Classification in Hierarchical Stochastic Blockmodels

Add code
Aug 26, 2016
Figure 1 for Community Detection and Classification in Hierarchical Stochastic Blockmodels
Figure 2 for Community Detection and Classification in Hierarchical Stochastic Blockmodels
Figure 3 for Community Detection and Classification in Hierarchical Stochastic Blockmodels
Figure 4 for Community Detection and Classification in Hierarchical Stochastic Blockmodels
Viaarxiv icon

Limit theorems for eigenvectors of the normalized Laplacian for random graphs

Add code
Jul 28, 2016
Figure 1 for Limit theorems for eigenvectors of the normalized Laplacian for random graphs
Figure 2 for Limit theorems for eigenvectors of the normalized Laplacian for random graphs
Figure 3 for Limit theorems for eigenvectors of the normalized Laplacian for random graphs
Figure 4 for Limit theorems for eigenvectors of the normalized Laplacian for random graphs
Viaarxiv icon

Empirical Bayes Estimation for the Stochastic Blockmodel

Add code
Feb 09, 2016
Figure 1 for Empirical Bayes Estimation for the Stochastic Blockmodel
Figure 2 for Empirical Bayes Estimation for the Stochastic Blockmodel
Figure 3 for Empirical Bayes Estimation for the Stochastic Blockmodel
Figure 4 for Empirical Bayes Estimation for the Stochastic Blockmodel
Viaarxiv icon

Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding

Add code
Jan 15, 2015
Figure 1 for Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding
Figure 2 for Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding
Viaarxiv icon