Extension of jet colormap to include more colors. It can also be used to build virtually any custom colormaps.

Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.

Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0

sklearn counterpart in matlab language to facilitate coding of machine learning.

User interface in Matlab to simulate a robot navigating a grid of barriers using the grassfire method.

Simple algorithm shows how binary particle swarm optimization (BPSO) used in feature selection problem.

The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection tasks.

a small animated movie of creating a graphic shown in image.

This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, NB, and etc., which are simpler and easy to implement.

A novel socio-inspired meta-heuristic for global optimization.

This toolbox contains 6 types of neural networks, which is simple and easy to implement.

Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.

Application of principal component analysis (PCA) for feature reduction.

Adds a menu item and keyboard shortcut Ctrl+Shift+F to show/hide a block name.

Optimization method to determine the minimum distance (or max overlap) between two SuperEllipsoids?

Supports the creation of a Simulink module, syntactic interfaces, and checking related guidelines.

Ma(e)stroStack: a Matlab class to automatically align and stack astro-photography images

Read RAW camera images from within Matlab, using DCRAW or LibRAW

MATLAB Instrument Driver for use with PicoScope 4000 Series oscilloscopes (Beta Release)

A univariate scatter plot for matlab