1 citations · 2 across the 3 of their papers we have counts for
4 papers
Vertex nomination: The canonical sampling and the extended spectral nomination schemes
Jordan Yoder, Li Chen, Henry Pao +5
Suppose that one particular block in a stochastic block model is of interest, but block labels are only observed for a few of the vertices in the network. Utilizing a graph realize…
Semi-supervised K-means++
Jordan Yoder, Carey E. Priebe
Traditionally, practitioners initialize the {\tt k-means} algorithm with centers chosen uniformly at random. Randomized initialization with uneven weights ({\tt k-means++}) has rec…
A Model-based Semi-Supervised Clustering Methodology
Jordan Yoder, Carey E. Priebe
We consider an extension of model-based clustering to the semi-supervised case, where some of the data are pre-labeled. We provide a derivation of the Bayesian Information Criterio…
On latent position inference from doubly stochastic messaging activities
Nam H. Lee, Jordan Yoder, Minh Tang +1
We model messaging activities as a hierarchical doubly stochastic point process with three main levels, and develop an iterative algorithm for inferring actors' relative latent pos…