7 citations · 16 across the 12 of their papers we have counts for
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stat.ML2018
Connecting Spectral Clustering to Maximum Margins and Level Sets
David P. Hofmeyr
We study the connections between spectral clustering and the problems of maximum margin clustering, and estimation of the components of level sets of a density function. Specifical…
stat.ML2018
Degrees of Freedom and Model Selection for k-means Clustering
David P. Hofmeyr
This paper investigates the model degrees of freedom in k-means clustering. An extension of Stein's lemma provides an expression for the effective degrees of freedom in the k-means…
stat.CO2018★ 7 cited
Fast Exact Univariate Kernel Density Estimation
David P. Hofmeyr
This paper presents new methodology for computationally efficient kernel density estimation. It is shown that a large class of kernels allows for exact evaluation of the density es…