The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, ...
Abstract: Density-based clustering algorithms are widely used for discovering clusters of arbitrary shapes without prior knowledge, yet they encounter major challenges when dealing with fuzzy ...
A new algorithm for estimating left ventricular filling pressure (LVFP) by echocardiography reduced indeterminate results to just two cases compared with 38 using previous guidelines, achieving 86% ...
Abstract: Soft clustering algorithms based on fuzzy C-means (FCM) have been extensively applied to complex data analysis. However, existing FCM variants still encounter key limitations: a large number ...
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