Algorithms

01/20/2019
mahalanobis-distance-pca

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.
01/03/2019
NIR data correlograms with Seaborn in Python

NIR data correlograms with Seaborn in Python

Exploratory analysis is an essential part of data analysis. Learn a handy way to explore your dataset with NIR data correlograms with Seaborn in Python.
12/03/2018
Classification of NIR spectra by Linear Discriminant Analysis in Python

Classification of NIR spectra by Linear Discriminant Analysis in Python

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.
10/19/2018
Principal Components vs Ridge Regression on NIR data in Python

Principal Components Regression vs Ridge Regression on NIR data in Python

Principal components decomposition is a staple of NIR analysis. Ridge regression is much used of machine learning. How do they relate? Find out in this post
09/22/2018
Outliers detection with PLS regression for NIR spectroscopy in Python

Outliers detection with PLS regression for NIR spectroscopy in Python

Not every data point is created equal. In this post we'll show how to perform outliers detection with PLS regression for NIR spectroscopy in Python.
09/08/2018
Comparison of tomography reconstruction techniques

Comparison of tomography reconstruction techniques

An overview of different types of tomography reconstruction algorithms, their strengths and pitfalls when it comes to reconstructing tomography data.