Perform classification using discriminant analysis, naive Bayes classifiers, and decision trees. Suppose you have a data set containing observations with measurements on different variables (called predictors) and their known class labels. If you obtain predictor values for new observations, could you determine to which classes those
Computing a fractal dimension with Matlab: 1D, 2D and 3D Box-counting
F. Moisy, 9 july 2008. University Paris Sud.
Fit Exponential Models Using the fit Function
Fit an exponential model to data using the fit function.
ANOVA with Random Effects
Use anovan to fit models where a factor's levels represent a random selection from a larger (infinite) set of possible levels.
Khan, S., Naseem, I., Togneri, R. et al. Circuits Syst Signal Process (2017) 36: 1639. doi:10.1007/s00034-016-0375-7 https://link.springer.com/article/10.1007/s00034-016-0375-7
Getting Started with CVXOPT Toolbox
This toolbox provides a basic MATLAB interface to CVXOPT's cone LP solver.
Fault Detection and Diagnostics Algorithm Design
This script walks through the data pre-processing and machine learning tasks required to design a fault detection algorithm. The machine learning technique can also be designed to perform
Basic Matrix Operations
Basic techniques and functions for working with matrices in the MATLAB® language.
Manipulating Multidimensional Arrays
Work with arrays having more than two dimensions. Multidimensional arrays can be numeric, character, cell, or structure arrays.
Approximating Nonlinear Relationships: Type S Thermocouple
Approximate nonlinear relationships of a type S thermocouple.
Simulation of a Bouncing Ball
Use two different approaches to modeling a bouncing ball using Simulink®.
To create two-dimensional line plots, use the plot function. For example, plot the value of the sine function from 0 to 2\pi :