Opinion
DATAQUESTOpinion

India's semiconductor opportunity lies in AI-native design and sustainable innovation

The emerging convergence of AI-first design principles and environmental consciousness is reshaping how we think about semiconductor development.
Investopedia

Mining: Techniques, Benefits, and Examples Uncovered

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Natalya Yashina is a CPA, DASM with over 12 years of experience in ...
Visual Studio Magazine

Weighted k-Nearest Neighbors Regression Using C#

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict the price of a particular make and model of a used car based on its ...
IEEE

Sparse Coefficient-Based ${k}$ -Nearest Neighbor Classification

Abstract: K-nearest neighbor rule (KNN) and sparse representation (SR) are widely used algorithms in pattern classification. In this paper, we propose two new nearest neighbor classification methods, ...
IEEE

Efficient kNN Classification With Different Numbers of Nearest Neighbors

Abstract: k nearest neighbor (kNN) method is a popular classification method in data mining and statistics because of its simple implementation and significant classification performance. However, it ...
Scientific Research Publishing

Wilson, D.L. (1972) Asymptotic properties of nearest neighbor rules using edited data. IEEE Transactions on Systems, Man, and Cybernetics, 2(3), 408-421.

ABSTRACT: Arrhythmia beat classification is an active area of research in ECG based clinical decision support systems. In this paper, Pruned Fuzzy K-nearest neighbor (PFKNN) classifier is proposed to ...