Abstract: The technique known as K-Means is used in this study to optimize patient clustering for health care information analysis. Adopting an interpretivist mindset, a deductive method is utilized ...

The present study aimed at comparing predictive performance of some data mining algorithms (CART, CHAID, Exhaustive CHAID, MARS, MLP, and RBF) in biometrical data of Mengali rams. To compare the ...

Tianjin Key Laboratory of Advanced Carbon and Electrochemical Energy Storage, School of Chemical Engineering and Technology, and National Industry-Education Integration Platform of Energy Storage, ...

Marathon Digital Holdings (NASDAQ: MARA) appears to have taken advantage of Friday's market turmoil to load up on bitcoin BTC $101,942.33, according to data curated by Arkham Intelligence. Marathon ...

Abstract: Density peaks clustering (DPC) is an excellent clustering algorithm that does not need any prior knowledge. However, DPC still has the following shortcomings: (1) The Euclidean distance used ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...