Europe PMC

Differentiation of Organic Cocoa Beans and Conventional Ones by Using Handheld NIR Spectroscopy and Multivariate Classification Techniques.

The global market for organic cocoa beans continues to show sturdy growth. A low-cost handheld NIR spectrometer (900-1700 nm) combined with multivariate classification algorithms was used for rapid ...
IEEE

A multivariate feature selection framework for high dimensional biomedical data classification

Abstract: High dimensional biomedical data are becoming common in various predictive models developed for disease diagnosis and prognosis. Extracting knowledge from high dimensional data which contain ...
JSTOR Daily

Some Classification Procedures for Multivariate Binary Data Using Orthogonal Functions

Four new methods for classification of multivariate binary data are presented, based on an orthogonal expansion of the density in terms of discrete Fourier series. The performance of these methods in ...
C&EN

Systematic Characterization of Tea Varieties and Manufacturing Processes through Chemical Profiling and Multivariate Statistical Analysis

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The extensive diversity of tea, resulting from varietal traits and manufacturing ...
GitHub

Stochastic gradient-boosted decision trees for multivariate classification, usable standalone and via Python interface.

Check the paper on ArXiv: FastBDT: A speed-optimized and cache-friendly implementation of stochastic gradient-boosted decision trees for multivariate classification Stochastic gradient-boosted ...