Model-based clustering provides a principled way of developing clustering methods. We develop a new model-based clustering methods for count data. The method combines clustering and variable selection ...
Abstract: In real-world scenarios, the performance of rolling bearings can be significantly affected by frequent environmental disturbances, including high-energy fluctuations, transient noises, ...
Background We investigated the prevalence, temporal trends and associated factors of overweight and obesity among adults in ...
Abstract: Rolling element bearings are crucial key components in rotating machinery, and it is essential to monitor their condition to prevent unexpected breakdown or safety incidents. However, ...
AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...
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