Abstract: K-means is one of the most simple and popular clustering algorithms, which implemented as a standard clustering method in most of machine learning researches. The goal of K-means clustering ...

Abstract: Feature selection plays a crucial role in order to mitigate the high dimensional feature space in different classification problems. The computational cost is reduced, and the accuracy of ...

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A novel AI algorithm equips researchers with a powerful new tool to accurately identify individual jaguars, zebras and giraffes in real time based on their unique coat patterns. Biologists and ...

The newly reinstated Anthropic model topped charts for automating work. Here's what that means for the future.

About 90% of employers use AI to some extent in hiring, yet research on how this is impacting job seekers is virtually ...

This is a modern implementation of the Hybrid Genetic Search (HGS) with Advanced Diversity Control of [1], specialized to the Capacitated Vehicle Routing Problem (CVRP). This algorithm has been ...

The Council for the Indian School Certificate Examinations (CISCE) has released the ISC Computer Science (Subject Code - 868) ...

The Decision & Action Layer translates fused predictions into concrete actions. The Decision Engine performs inference, ...

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The purpose of swarm is to provide a novel clustering algorithm that handles massive sets of amplicons. Results of traditional clustering algorithms are strongly input-order dependent, and rely on an ...