The two-spiral task is a well-known benchmark for binary classification. The data consist of
points on two intertwined spirals which cannot be linearly separated. This article reviews …

The nearest subspace (NS) classification is an efficient method to solve face recognition
problem by using the linear regression technique. This method is based on the assumption …

The current discriminant analysis method design is generally independent of classifiers, thus
the connection between discriminant analysis methods and classifiers is loose. This paper …

Techniques for classification and feature extraction are often intertwined. In this paper, we
contribute to these two aspects via the shared philosophy of simplexizing the sample set. For …

Diseases in fruit cause devastating problem in production and availability. The classical
approach of fruit disease recognition is based on the naked eye observation by experts …

In this paper, two improved classifiers based on the nearest feature line (NFL) are proposed
for image classification, where the neighborhood feature line segment-I (NFLS-I) classifier …

A classification approach called angle-based neighborhood graph (ANG) is proposed in this
paper, which can flexibly define the neighborhood of a given query sample based on the …

A new approach called shortest feature line segment (SFLS) is proposed to implement
pattern classification in this paper, which can retain the ideas and advantages of nearest …

Sample weighting and variations in neighbourhood or data‐dependent distance metric
definitions are three principal directions considered for improving the k‐NN classification …

Even though, under representational restrictions, the nearest feature rules and the
dissimilarity-based classifiers are feasible alternatives to the nearest neighbor method; …