4 citations · 4 across the 3 of their papers we have counts for
3 papers
math.ST2026
Exact Sign Recovery for PCA Connectivity Analysis in Mixture Models
Kohei Kawamoto
We study exact sign recovery for PCA connectivity analysis in mixture models, using the projection onto the first principal components. For any fixed number of components w…
math.ST2026
On spectral clustering under non-isotropic Gaussian mixture models
Kohei Kawamoto, Yuichi Goto, Koji Tsukuda
We evaluate the misclustering probability of a spectral clustering algorithm under a Gaussian mixture model with a general covariance structure. The algorithm partitions the data i…
math.ST2023★ 4 cited
Spectral clustering algorithm for the allometric extension model
Kohei Kawamoto, Yuichi Goto, Koji Tsukuda
The spectral clustering algorithm is often used as a binary clustering method for unclassified data by applying the principal component analysis. To study theoretical properties of…