Clustering is a well-known unsupervised machine learning approach capable of
automatically grouping discrete sets of instances with similar characteristics. Constrained …

Highlights•Near-infrared spectra for classifying maize haploid seeds from hybrid
seeds.•Supervised virtual sample kernel locality preserving projection was …

We propose a method of clustering images that combines algorithmic and human input. An
algorithm provides us with pairwise image similarities. We then actively obtain selected …

Clustering is an unsupervised learning problem, whose objective is to find a partition of the
given data. However, a major challenge in clustering is to define an appropriate objective …

Clustering is one of the most common data mining tasks, used frequently for data
organization and analysis in various application domains. Traditional machine learning …