IEEE

A Provable Initialization and Robust Clustering Method for General Mixture Models

Abstract: Clustering is a fundamental tool in statistical machine learning in the presence of heterogeneous data. Most recent results focus primarily on optimal mislabeling guarantees when data are ...
Frontiers

A novel nutritional immune risk score model for long-term prognosis in colorectal cancer using clustering and principal component analysis

The incidence of colorectal cancer (CRC) ranks third worldwide and second in China (1, 2). Curative resection is a common surgical procedure for treating patients with CRC, and accurate prognostic ...
GitHub

gaussian-mixture

Python library for adaptive Gaussian mixture state estimation. Useful for navigation and tracking in nonlinear non-Gaussian systems. Capable of incorporating negative information and other imprecise ...
IEEE

K-Means and Gaussian Mixture Models on Lie Groups: Application to Geometrical Clustering

Abstract: This paper investigates two new clustering algorithms dedicated to Lie groups, adapted from the well known K-Means algorithm and Gaussian mixture models. More precisely, the K-Means ...