Recently, Ningbo Lanyuan Industrial City Group Co., Ltd. announced that it has obtained a patent titled "Intelligent Industrial Cluster Management System Based on Big Data Analysis ", with the ...

By: Johan Potgieter - Cluster Industrial Software Lead at Schneider Electric Today’s industrial automation continues to ...

K-Means Algorithm, Influenza Transmission, Cluster Analysis, Urban Characteristics Share and Cite: Ye, S. (2025) Application of the K-Means Algorithm in the Study of Influenza Transmission Patterns.

1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...

Objective Comprehensive data and analyses on cardiovascular research could clarify recent research ... analysing over 2.5 million cardiovascular publications from 1944 to 2021—especially the past 40 ...

AI in marketing is driving growth and innovation in Africa, but many marketing executives are still hesitant about AI ...

This project explores unsupervised clustering of vehicle silhouettes using image-derived shape features. The objective is to automatically discover meaningful groupings in the data, guided by ...

K-means clustering is a popular unsupervised machine learning algorithm used for clustering data points into a predefined number of clusters. It is widely used for various applications such as ...

Explore 10 essential clustering algorithms tailored for data scientists to enhance data analysis and pattern recognition skills.

Data mining is the software-driven analysis of large batches of data in order to identify meaningful patterns.