Principal Component Analysis

This toolbox includes routines for using principal component analysis (PCA) and independent component analysis (ICA) to extract cellular signals from imaging data sets. A full description and validation of the method is provided in the paper, "Automated Analysis of Cellular Signals from...

This is a generalized version of Principal Component Pursuit (PCP) where the sparsity is assumed in a transform domain and not in measurement domain. Moreover the samples obtained are lower dimensional projections. Inputs y - observation (lower dimensional projections)F - projection from signal...

A script containing the methods used to develop a principal components analysis in MATLAB is presented. The results are analyzed and plotted in different ways in order to interpret the information. The script is presented in Spanish and English. Some datasets are attached and ready to...


Platforms: Matlab

Modular toolkit for Data Processing (MDP) is a Python data processing framework. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA),...


Platforms: Windows, Mac, *nix, Python, BSD Solaris

MPCA is a comprehensive suite of tools for doing discrete principal components analysis on data sets of size 100Mb or more. Scaling is done using sparse vectors, multi-threading, memory mapping, and other POSIX tricks. Reports, file dumping utilities and other utilities are included. The...


Platforms: *nix

- Subtracting the mean of the data from the original dataset - Finding the covariance matrix of the dataset - Finding the eigenvector(s) associated with the greatest eigenvalue(s) - Projecting the original dataset on the eigenvector(s) - Use only a certain number of the eigenvector(s) - Do...


Platforms: Matlab

This is an example of the basic Active Shape Model (ASM) and also the Active Appearance Model (AAM) as introduced by Cootes and Taylor, with multi-resolution approach, color image support and improved edge finding method. Very useful for automatic segmentation and recognition of biomedical...


Platforms: Matlab

PCSA is a frequency domain analysis technique that can be used to transform PSDs (as those in a spectrogram) to the form of a two-dimensional histogram with frequency-magnitude bins. PCSA can be used to examine the spectral characteristics of a long period of data. It summarizes magnitudes and...


Platforms: Matlab

Wcalc is a tool for the analysis and synthesis of electronic components. Some of the models include coupled microstrip lines, single layer air core solenoid inductors, etc. Wcalc can analyze the electrical parameters based on the physical dimensions a


Platforms: Windows, Mac, Solaris, Linux

SciCraft is an open source data analysis software developed in Python which allows you to access advanced mathematical functions through an easy-to-use graphical interface. Typical methods can be anything from areas like statistics, chemometrics and artificial intelligence and from languages like...


Platforms: Linux

Praat (also the Dutch word for "talk") is a free scientific software program for the analysis of speech in phonetics. It has been designed and continuously developed by Paul Boersma and David Weenink of the University of Amsterdam. It can run on a wide range of operating systems, including...


Platforms: Mac

Praat (also the Dutch word for "talk") is a free scientific software program for the analysis of speech in phonetics. It has been designed and continuously developed by Paul Boersma and David Weenink of the University of Amsterdam. It can run on a wide range of operating systems, including...


Platforms: Linux

ProDy is a free and open-source Python package for analyzing protein structural dynamics. It allows for quantitative analysis of heterogeneous experimental structural datasets and comparison with theoretically predicted conformational dynamics. The input for ProDy is the atomic coordinates of...


Platforms: *nix

The Modular toolkit for Data Processing (MDP) is a Python data processing framework. From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex...


Platforms: Windows, Mac, Linux

This application is an open-source machine learning program for supervised classification of patterns (vectors of measurements). PCP implements the following algorithms and methods: - Fisher's linear discriminant - dimensionality reduction using Singular Value Decomposition - Principal...


Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

Statistics fundamentals of the Correspondence Analysis (CA) is presented in the CORRAN and MCORRAN1 m-files you can find in this FEX author''s page. CA can be extended to more than two categorical variables, called Multiple Correspondence Analysis (MCA). CA and MCA are graphical techniques for...


Platforms: Matlab

Topiary Explorer is an innovative phylogenetic tree-viewing program written in Java that, unlike most phylogenetic tree-viewing software currently available, integrates the tree along with its related metadata. This tree-metadata relationship facilitates easy identification of interesting...


Platforms: Mac

IT++ is a C++ library of mathematical, signal processing and communication routines IT++ is a C++ library of mathematical, signal processing and communication classes and functions. Its main use is in simulation of communication systems and for performing research in the area of...


Platforms: Windows, Mac, Linux

IT is a C library of mathematical, signal processing, speech processing, and communications classes and functions. It is being developed by researchers in these areas and is widely used by researchers, both in the communications industry and universities. The kernel of the IT library are...


Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

Visual Graph is a standard ActiveX component for developing graphics-related applications of various industries, such as power, coal, chemical, automation monitor, simulation, graphical modeling, graphical topology analysis, vector drawing, tables, geographic information system (GIS), workflow,...


Platforms: Windows