most citedAdaptively Robust and Sparse K-means Clustering

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

stat.CO2025

Robust Global Fr'echet Regression via Weight Regularization

Hao Li, Shonosuke Sugasawa, Shota Katayama

The Fréchet regression is a useful method for modeling random objects in a general metric space given Euclidean covariates. However, the conventional approach could be sensitive to…

stat.CO2024★ 2 cited

Adaptively Robust and Sparse K-means Clustering

Hao Li, Shonosuke Sugasawa, Shota Katayama

While K-means is known to be a standard clustering algorithm, its performance may be compromised due to the presence of outliers and high-dimensional noisy variables. This paper pr…