Morning Overview on MSN

Is your job AI-proof? 10 skills that matter more in 2026

Artificial intelligence is no longer a distant threat to jobs, it is a daily collaborator, competitor and filter for who even ...

‘Fuzzlets’ Banner Mini Studio Built an AI-Native Animation IP That Went Viral — Now It’s Developing a Feature Film (EXCLUSIVE)

MiniStudio is a Paris-based AI banner that rolled out in 2024 with just one IP, 'Fuzzlets' which has quietly become a ...
Scientific American

The Pleiades Star Cluster Has a Secret Stellar Family Scattered across the Milky Way

The “Seven Sisters” of the Pleiades are part of a much larger complex that can help reveal our galaxy’s deep history ...
IEEE

Multi-Viewpoint Induced Kernel Fuzzy Clustering With Trapezoidal Information Granules

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

Domain adaptive deep possibilistic clustering for EEG-based emotion recognition

In the field of affective computing (Muhl C. and G., 2014), automatic emotion recognition (AER) (Stern, 2002) has gained significant attention (Kim et al., 2013; Zhang et al., 2013), especially for ...
Frontiers

Network intrusion detection based on relative mutual K-nearest neighbor density peak clustering

1 Yibin University, School of Computer Science and Technology, Yibin, China 2 Southwest Petroleum University, School of Computer and Software, Chengdu, China Network security is the core guarantee for ...
IEEE

A Clustering Validity Index With Multi-Granularity Fusion for Multiple Fuzzy Clustering Algorithms

Abstract: Most clustering validity indexes (CVIs) for fuzzy clustering are based upon the fuzzy c-means (FCMs) algorithm, and the effect of these CVIs is limited due to the “uniform effect” of FCM.
Scientific Research Publishing

Ruspini, E.H., Bezdek, J.C. and Keller, J.M. (2019) Fuzzy Clustering: A Historical Perspective. IEEE Computational Intelligence Magazine, 14, 45-55.

ABSTRACT: 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 ...
Scientific Research Publishing

Miyamoto, S., Ichihashi, H. and Honda, K. (2008) Algorithms for Fuzzy Clustering, Methods in c-Means Clustering with Applications. In: Studies Fuzziness and Soft Computing, Vol ...

ABSTRACT: This research suggests the improving Sine Cosine algorithm and Arithmetic optimization algorithm (SCA-AOA), and the application in two directions: First, in special functions (N-P hard) ...