skip to primary navigationskip to content
 

Advanced Data Analysis

Hyperspy banner

The group is interested in developing methods for analysis of microscopy data. Specifically, group members are contributors to Hyperspy, an open source project for a Python-based suite for the treatment of multi-dimensional data, including spectroscopic and diffraction studies.

Specifically, Hyperspy implements different algorithms, generally within the umbrella term of multivariate analysis (MVA). These include, at the moment, PCA (Principal Component Analysis) and NMF (Non-negative Matrix Factorisation).

For more information on Hyperspy and multivariate analysis, you can refer to:

- The Hyperspy website

- A layman description of PCA on stackexchange.

 

If you are using Hyperspy to treat your data, please acknowledge it in your references. The preferred format for citation is described here: http://hyperspy.org/hyperspy-doc/current/citing.html

RSS Feed Latest news

MSM image competiton

Jan 07, 2019

Congratulations to Giorgio for winning prizes at the MSM image competition!

Happy New Year!

Jan 07, 2019

Welcome to Amogh

Nov 13, 2018

View all news