Lying has become a viable strategy for success. How influencers, algorithms, and crowds turn deception into accepted reality ...

Abstract: The performance of k-means clustering algorithm depends on the selection of distance metrics. The Euclid distance is commonly chosen as the similarity measure in k-means clustering algorithm ...

A recent study published March 17 by researchers at the University of Michigan details the unique experiences of Black women on online dating platforms. Researchers examined the challenges Black women ...

ABSTRACT: 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 ...

Abstract: The k-means method is widely utilized for clustering. Its simplicity, efficacy, and swiftness make it a favored choice among clustering algorithms. It faces the challenge of sensitivity to ...

1 Intelligent Equipment Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China 2 Information Technology Research Center, Beijing Academy of Agriculture and ...

The year 2024 is the time when most manual things are being automated with the assistance of Machine Learning algorithms. You’d be surprised at the growing number of ML algorithms that help play chess ...