The K-shaped economy is an ongoing economic bifurcation; its upper branch comprises wealthier people who continue to increase their existing fortunes. Simultaneously, those in the wage-dependent lower ...

This repository contains computational notebooks and analysis code for research on smart K-means clustering algorithms applied to social exclusion indicators. The project implements and compares ...

J&K Salvage has been ordered to close by the Pennsylvania Department of Environmental Protection after years of violations. The scrapyard's owner, Joe Darrah, faces potential jail time for contempt of ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

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 online social ...

Soft clustering algorithm based on fuzzy logic that assigns membership degrees to data points across multiple clusters. Unlike hard clustering (K-Means), each point can partially belong to multiple ...

Rocky high steep slopes are among the most dangerous disaster-causing geological bodies in large-scale engineering projects, like water conservancy and hydropower projects, railway tunnels, and metal ...

ABSTRACT: In this paper, an Optimal Predictive Modeling of Nonlinear Transformations “OPMNT” method has been developed while using Orthogonal Nonnegative Matrix Factorization “ONMF” with the ...

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 ...

Excited about solving real-world problems through data. Music surrounds us every day. It sets us up, motivates us, and even enhances cognitive performance. Fast rhythmic beats can boost our energy, ...