National Law Review

AI Hiring Under Fire: What the Eightfold Lawsuit Means for Every Employer Using Algorithmic Screening

A January 2026 class action alleges that Eightfold AI scraped personal data on over one billion workers, scored job ...
Frontiers

LiDAR point cloud down-sampling strategy with multi-dimensional membership fusion

This study devises an innovative LiDAR point cloud down-sampling strategy that capitalizes on the properties of Fuzzy C Means (FCM) clustering membership functions in each dimension. Traditional ...
IEEE

Robust Federated Fuzzy C-Means Algorithm in Heterogeneous Scenarios

Abstract: The federated fuzzy C-means (federated FCM) extends the traditional Fuzzy C-means (FCM) to the federated learning (FL) scenario, aiming to address the data privacy preservation issue of soft ...
NBC Sports

What would federal takeover of D.C. mean for Commanders stadium?

The Commanders reportedly may go to President Trump, if they can’t get D.C. Council to move quickly enough on a proposed new stadium. They ultimately may have no choice. Via Bloomberg, the latest ...
The Ellsworth American

Not just in New Zealand: Hardy kiwi, cousin to the fuzzy grocery store favorite, can be grown in Downeast Maine

My interest in the hardy kiwi (actinidia arguta) first began when a co-worker brought in a quart of fresh picked kiwi fruits in late September. This was about seven years ago. She told me she had ...
Scientific Research Publishing

Ng, H.P., Ong, S.H., Foong, K.W.C., Goh, P.S. and Nowinski, W.L. Medical Image Segmentation Using K-Means Clustering and Improved Watershed Algorithm. 2006 IEEE Southwest ...

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

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 ...
IEEE

Unconstrained Fuzzy C-Means Algorithm

Abstract: Fuzzy C-Means algorithm (FCM) is one of the most commonly used fuzzy clustering algorithm, which uses the alternating optimization algorithm to update the membership matrix and the cluster ...