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 ...
The US economy is looking increasingly bifurcated—a phenomenon analysts describe as a “K shape.” Higher-income households have seen their wealth and confidence surge thanks to strong stock market ...
Python still holds the top ranking in the monthly Tiobe index of programming language popularity, leading by more than 10 percentage points over second-place C. But Python’s popularity actually has ...
ARLINGTON, Texas -- Miami just made an example out of Ohio State by flipping a script that was almost 25 years in the making. The Buckeyes once used a bowl game against Miami to not only win a trophy ...
This project used a Kmeans after PCA model to segment retail customers to optimize marketing efforts. When the model repeatedly returned a single cluster, the model was used to prove the customers' ...
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, ...
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 ...
Abstract: With the rapid rise of the electric vehicle market and its increasingly significant role in power systems, the clustering analysis of high-dimensional electric vehicle charging data has ...
LONDON — British Prime Minister Keir Starmer hailed a “fantastic, historic” day as he joined President Donald Trump in announcing a new trade deal between their countries — an agreement Starmer said ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results