EurekAlert!

Decomposition-based AI model enhances Indian stock price forecasting amid macroeconomic shocks

Stock markets are essential for households for wealth creation and for firms for raising financial resources for capacity ...
The New York Times

Calley Means Returns to Kennedy’s Side as Senior Adviser

Mr. Means, who co-founded a wellness company, has emerged as one of the most prominent voices in the Make America Healthy Again movement. By Dani Blum Calley Means, a health care entrepreneur and key ...
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 ...
Frontiers

Testing network clustering algorithms with natural language processing

Introduction: We propose a hybrid methodology to evaluate the alignment between structural communities inferred from interaction networks and the linguistic coherence of users' textual production in ...
Frontiers

The association between multimorbidity patterns and physical frailty among middle-aged and older community-dwelling adults: the mediating role of depressive symptoms

1 Medical School of Chinese PLA, Beijing, China 2 Department of Rehabilitation Medicine, The First Medical Center of Chinese PLA General Hospital, Beijing, China Background: This study aimed to ...
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 ...