Robust PCA
A implementation of robust PCA, useful when the data contains outliers.
Category: Classification
Multi-class classification for NIR spectroscopy: the very basics
Multi-class classification aims and subdividing samples into one of multiple predefined categories. In this post we explore a basic classifier and discuss important metrics such as accuracy and AUC …
The PCA correlation circle
The PCA correlation circle is a useful tool to visually display the correlation between spectral bands and principal components. The correlation can be quantified through the Euclidean distance and …
PCA and kernel PCA explained
Principal Components Analysis
06/10/2020
Gain a practical understanding of PCA and kernel PCA by learning to code the algorithms and test it on real spectroscopic data.
Binary classification of spectra with a single perceptron
Classification, Perceptron, PLS Discriminant Analysis
04/17/2020
The perceptron is a basic block of feed-forward neural networks. Learn how to use a single perceptron for binary classification of NIR spectra using gradient descent
PLS Discriminant Analysis for binary classification in Python
Classification, PLS Discriminant Analysis
03/29/2020
PLS Discriminant analysis is a variation of PLS able to deal with classification problems. Here's a tutorial on binary classification with PLS-DA in Python
Detecting outliers using the Mahalanobis distance with PCA in Python
How do we make sure we are detecting only true outliers and not cherry-picking from the data? Here's a method based on the Mahalanobis distance with PCA.
Classification of NIR spectra by Linear Discriminant Analysis in Python
Classification, Linear Discriminant Analysis
12/03/2018
What is Linear Discriminant Analysis and how it differs from PCA? Let's talk trough LDA and build a NIR spectra classifier using LDA in Python.
Classification of NIR spectra using Principal Component Analysis in Python
Classification, Principal Components Analysis
03/23/2018
An in-depth tutorial on how to run a classification of NIR spectra using Principal Component Analysis in Python. Step by step example with code.
NIR classification of macadamia kernels
Classification, Principal Components Analysis, Use Cases
07/06/2017
Can we use NIR analysis to grade macadamias? Check out our preliminary results of NIR classification of macadamia kernels using Principal Component Analysis.
The cricket thermometer: an introduction to Principal Component Analysis in Python
Classification, Principal Components Analysis
03/21/2017
A worked example for an introduction to Principal Component Analysis in Python.
