GitHub

gmm-clustering

Model-based clustering based on parameterized finite Gaussian mixture models. Models are estimated by EM algorithm initialized by hierarchical model-based agglomerative clustering. The optimal model ...
Frontiers

Subtle changes on electrocardiogram in severe patients with COVID-19 may be predictors of treatment outcome

Background: Two years after the COVID-19 pandemic, it became known that one of the complications of this disease is myocardial injury. Electrocardiography (ECG) and cardiac biomarkers play a vital ...
ascopubs.org

An online clustering algorithm predicting model for prostate cancer based on PHI-related variables and PI-RADS in different PSA populations.

PSMA-based PET imaging in newly diagnosed, high-risk localized prostate cancer, a National Cancer Institute (NCI) Cancer Moonshot trial. This is an ASCO Meeting Abstract from the 2025 ASCO ...
Science Daily

Truly autonomous AI is on the horizon

Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.
Scientific Research Publishing

Hartigan, J. A. (1975). Clustering Algorithms, Wiley Series in Probability and Mathematical Statistics (p. 365). John Wiley & Sons Inc.

ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...
Scientific Research Publishing

Oyelade, J., Isewon, I., Oladipupo, F., Aromolaran, O., Uwoghiren, E., Ameh, F. et al. (2016). Clustering Algorithms: Their Application to Gene Expression Data. Bioinformatics ...

ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...
IEEE

Using hierarchical histogram representation for the EM clustering algorithm enhancement

Abstract: This paper is devoted to EM clustering improvement using hierarchical multivariate histogram for probability density representation. We propose to store and operate with the image histogram ...
IEEE

An EM Clustering Algorithm which Produces a Dual Representation

Abstract: Clustering text documents is an important step in mining useful information on the Web or other text-based resources. The common task in text clustering is to handle text in a ...