Abstract: Knowledge-based fuzzy clustering algorithms can integrate prior knowledge, constraints or expert experience into the clustering process, thereby improving the interpretability and accuracy ...

Frank “Fuzzy” Zoeller, a two-time major champion, died on Wednesday. He was 74. A cause of death was not immediately available. According to the Associated Press, Brian Naugle, the tournament director ...

In this study we are examining expert assessment (EA) non-linear scaled based approach to map original physical scale into a linguistical one. We introduce fuzzification of linguistic clustering ...

Abstract: Fuzzy clustering has received significant attention due to its robust capability for handling uncertain data and its strong clustering performance. Recently, multi-view fuzzy clustering ...

Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques often struggle ...

A lightweight Python package that extends scikit-learn's clustering ecosystem with additional algorithms and utilities. Features sklearn-compatible wrappers for Fuzzy C-Means, Faiss-based clustering, ...

HypeFCM is a fuzzy clustering algorithm for non-Euclidean spaces, combining hyperbolic geometry with adaptive weight-based filtering in the Poincaré Disc model. It efficiently captures hierarchical ...