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 K Nearest Neighbour In Matlab 

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In this file you can find a simple but very effective algorithm for Nearest Neighbour Search which I megalomaniacly called the GLTree.

You want more? go to the Professional version of GLTree

It has been designed for uniformly random data, where is the fastest I ever used, but works fine even on sparse ones. If points are too sparse, for example logspace data, search is still performed correctly but speed can degenerate to...



this file you can find a simple but very effective algorithm for Nearest Neighbour Search which I megalomaniacly called the GLTree.

You want more? go to the Professional version of GLTree

It has been designed for uniformly...



This is just a brute force implementation of k nearest neighbor search without using any fancy data structure, such as kd-tree. However it is the fastest knn matlab implementation I can find.

A partial sort mex function is implemented...



A GENERALAZED CONVOLUTION COMPUTING CODE IN MATLAB WITHOUT USING MATLAB BUILTIN FUNCTION conv(x,h)



Explain why we use fftshift(fft(fftshift(x))) in Matlab instead of fft(x). An example is given. The example and Matlab codes are partially copied from Daniele Disco d-de?s work in "A guide to the Fast Fourier Transform, 2nd Edition".



This webinar focuses on strategies and techniques for handling large amounts of data in MATLAB, including:

d-deD? Understanding memory and its constraints
d-deD? Maximizing system resources
d-deD? Minimizing your memory...



IMPLEMENTATION OF GAUSS SEIDEL METHOD IN MATLAB used in the load flow problem



The script is a good demo technique to show how complex numeric data can be exported and imported in MATLAB



VIDEO TUTORIAL: DATA TYPES IN MATLAB. (Narration in Spanish)



This is a small but efficient tool to perform K-nearest neighbor search, which has wide Science and Engineering applications, such as pattern recognition, data mining and signal processing.

The code was initially implemented through...



1. Introduction

Enough debate has been devoted from time to time to the luck of "go to" in Matlab.
Ourselves being somewhat devoted followers of structured programming, we rarely use
it in our FORTRAN applications...



Example of how to call API in Matlab.
Open, close CD,
maximize, minimize window
Start with matlab_api.m and try buttons in gui.
If your want to compile mex-file, you should setup compiler: mex -setup. Then type: mex...



This script shows how C# functions/classes and forms (gui) can be used in Matlab.

The zip contains:
- a example c# class (ComMatlab.cs) with different inputs and outputs functions.
- a info_ComMatlab.txt with the commands how...



% printgif(varargin) prints gif files in matlab
% printgif accepts all print arguments in varargin.
% printgif ignores all printer drivers passed to it
% ('-deps', '-dtiff', etc.)
% instead it used the -djpeg100' driver and...



M-files accompanying the webinar titled "New Approaches to Constrained Optimization in MATLAB" held on November 05, 2005

These files provide what you need to run the two demos:
1) The first demo is a demonstration of...



Example code from "Handling Large Data Sets Efficiently in MATLAB " webinar (http://www.mathworks.com/company/events/we.../wbnr30435.html) describing strategies for handling large amounts of data in MATLAB and avoiding...



Provides an example Server / Client written in MATLAB that utilises the ability to call Java inline to perform message communication using TCP/IP.

Importantly it does not require any pre-compiled DLLs or force you to compile some MEX...



These are the M-files that accompany the webinar titled "New Statistics Tools in MATLAB and the Statistics Toolbox." View the recorded webinar here:

http://www.mathworks.com/wbnr8328

This webinar goes through 2...



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....



This is the algorithm involved on the use of the non-linear forecast of asset's prices based on the nearest neighbour method.

The basic idea of the NN algorithm is that the time series copies it's own past behavior, and such fact can be...