Hidden seismicity patterns before large earthquakes uncovered

When and where the next large earthquake will strike remains one of the most difficult questions in geoscience. Researchers ...
IEEE

DFR: A density-based fuzzy rough clustering algorithm

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 ...
Golf Digest

Fuzzy Zoeller, two-time major champ, dies at 74

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 ...
IEEE

Anisotropic-Gaussian-Kernel-Based Fuzzy Clustering Algorithm for Feature Selection

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 ...
Scientific Research Publishing

Applying K-Means Clustering and Fuzzy C-Means Clustering in Vehicle Crashes ()

Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering algorithms to a ...
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 ...