Abstract: A two-step algorithm, clustering algorithm based on sparse feature vector for interval-scaled variables (CABOSFV_I), is proposed for high dimensional sparse data clustering in this paper. It ...

Nowadays, many classification algorithms are used to detect the community, but its accuracy can't meet the requirements. SVM, which is related to statistical learning theory and has a series of ...

Interactive web app to demonstrate Find-S and compare it with 10 ML algorithms (ID3, Naive Bayes, SVM, MLP, SLP, KNN, Weighted KNN, EM, Candidate Elimination, BBN). Features CSV upload, step-by-step ...

This project focuses on the in-depth analysis and clustering of a company's customers based on their behavioral, demographic, and purchase history data. The main goal is to identify consumption ...

June 20, 2025 — Imagine supercomputers that think with light instead of electricity. That s the breakthrough two European research teams have made, demonstrating how intense laser pulses through ...