Large datasets are increasingly common and are often difficult to interpret. Principal
component analysis (PCA) is a technique for reducing the dimensionality of such datasets …

Metabolomics is an essential technology for functional genomics and systems biology. It
plays a key role in functional annotation of genes and understanding towards cellular and …

The primary and secondary metabolites found in plant cells are the final recipients of
biological information flow. In turn, their levels can influence gene expression and protein …

In this paper, we propose a new method for disjoint principal component analysis based on
an intelligent search. The method consists of a principal component analysis with …

The article begins with a review of the main approaches for interpretation the results from
principal component analysis (PCA) during the last 50–60 years. The simple structure …

In this paper, we group South American countries based on the number of infected cases
and deaths due to COVID-19. The countries considered are: Argentina, Bolivia, Brazil, Chile …

To achieve an insightful clustering of multivariate data, we propose subspace K-means. Its
central idea is to model the centroids and cluster residuals in reduced spaces, which allows …

Seedlings of six selected walnut rootstock species were analyzed in terms of seed
germination rate (GR) and emergence rate (ER) as well as the seedlings' morphological and …

Despite the increasing amount of research on social media, there are few studies on the use
of WhatsApp to assess academic performance. Surprisingly, students use social media …

𝐹+ τ∥ 𝑿∥∗, where 𝒀∈ ℝ𝑚× 𝑛 is a given matrix, and∥⋅∥ 𝐹 is the Frobenius norm
and∥⋅∥∗ the nuclear norm. This problem serves as a basic subroutine in many popular …