knnpe: A Python package implementing the k -nearest neighbor permutation entropy The k -nearest neighbor permutation entropy [1] extends the fundamental premise of investigating the relative ordering ...

Based on particle swarm optimization (PSO), the algorithm for selecting appropriate K values is improved by combining k-mean algorithm. When the algorithm converges, the expansion and reduction of K ...

K-means remains a widely used algorithm due to its efficiency, although its performance can suffer in high ... Both methods were implemented using Python libraries, with modelling choices guided by ...

The basic K-means is sensitive to the initial centre and easy to get stuck at local optimal value. To solve such problems, a new clustering algorithm is proposed based on simulated annealing. The ...

DataPilot is a web app for visualizing 3D data using K-means and Nearest Neighbor algorithms. Built with Streamlit, it features from-scratch Python implementations and interactive 3D plots with Plotly ...