A new possibilistic-based clustering method for probability density functions and its application to detecting abnormal elements
-
Updated
Jun 23, 2024 - MATLAB
A new possibilistic-based clustering method for probability density functions and its application to detecting abnormal elements
Goal of this project was to predict beef carcass 22 yield parameters using image analysis. The code (written in MATLAB, Python) for image processing, feature extraction and multivariate modelling is found in this repository
Programa Computarizado, elaborado en el lenguaje de programacion MATLAB, referente al Trabajo Especial de Grado para optar al Título de Ingeniero Industrial, en la Facultad de Ingeniería de la Universidad de Carabobo, año 2015; la cual fue reconocida con mención honorífica.
Artificial neural networks model on matlab to predict wind speed. Data on wind speed, humidity, temperature and wind direction was obtained from Bagalkot wind farm, Karnataka, India, in the year 2014.
Multivariate Temporal Response Function
Package for multivariate fMRI analyses
Course work of Multivariate data analysis CH5440
Sparse canonical correlation analysis
Matlab Wrapper of Surface-based Analysis. Custom Matlab functions for running analyses with FreeSurfer, CoSMoMVPA, HCP pipeline (and SamSrf)...
Software for the analysis and interactive exploration of spectral imaging data
Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.
Add a description, image, and links to the multivariate-analysis topic page so that developers can more easily learn about it.
To associate your repository with the multivariate-analysis topic, visit your repo's landing page and select "manage topics."