K Nearest Neighbor

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 which is a simple wrapper of c++ partial_sort.Provided the sort...

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 vectorization. After discussions with John D'Errico, I realized...

This method produces different results depending on what city is choosen as the starting point.This function determines the Nearest Neighbor routes for multiple starting points and returns the best of those routes.


Platforms: Matlab

This implements a KDTree for nearest neighbor and range searching.The KDTree stores a N-dimensional set of points. The tree can be queried for all points within a Euclidian range in order O(sqrt(p)+k) time, where p is the number of points and k is the number of reported points. A nearest neighbor...


Platforms: Matlab

Connects randomly ordered 2D points into a minimal nearest neighbor contour.points2contourTristan UrsellFebruary 2012 [Xout,Yout]=points2contour(Xin,Yin,P,direction) Given any list of 2D points (Xin,Yin), construct a singly connected nearest-neighbor path in either the 'cw' or 'ccw' directions....


Platforms: Matlab

This method produces different results depending on what city is choosen as the starting point.This function determines the Nearest Neighbor routes for multiple starting points and returns the best of those routes. Requirements: - MATLAB 7.6 or higher


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

IntelligenceLab is a set of .NET 2.0-4.0 components for Artificial Intelligence. Includes: Neural networks, Naive Bayesian, Radial Basis Function Network, Self Organizing Map, K-Nearest Neighbor and more. Usage: Speech recognition, Face recognition, Computer vision, Gesture recognition, Robotics,...


Platforms: Windows

IntelligenceLab is a set of Visual C++ components for Artificial Intelligence. Includes: Neural networks, Naive Bayesian, Radial Basis Function Network, Self Organizing Map, K-Nearest Neighbor and more. Usage: Speech recognition, Face recognition, Computer vision, Gesture recognition, Robotics,...


Platforms: Windows

Delphi/C++ Builder VCL and FireMonkey (FMX) components library for Artificial Intelligence. Includes: Neural networks, Naive Bayesian, Radial Basis Function Network, Self Organizing Map, K-Nearest Neighbor and more. Usage: Speech recognition, Face recognition, Computer vision, Gesture...


Platforms: Windows

The K-nearest neighbors (K-NN) is an analogous approach. This method has its origin as a non-parametric statistical pattern recognition procedure to distinguish between different patterns according to a selection criterion. Through this method, researchers can generate future data. In other...


Platforms: Windows, Windows 8, Windows 7, Windows Server

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 GLTreeIt has been designed for uniformly random data, where is the fastest I ever used, but works fine even on...


Platforms: Matlab

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 GLTreeIt has been designed for uniformly random data, where is the fastest I ever used, but works fine even on sparse...


Platforms: Matlab

Fuzzy k-nearest neighbors classifier that can work with training samples whose label info is fuzzified. The prototype is as follows.[y,predict_class] = f_knn(tr,tr_memberships,te,k)tr: training samplestr_memberships: membership values of traning sampleste: testing samplesk: k value vector (more...


Platforms: Matlab

When the dataset is small, when you have to run only a few number of search, or when the dimensions of points is large, the brute search method is still faster than kd-trees data structure. Computing the distances one by one take a minor time than building the tree.Some of this problems have...


Platforms: Matlab

kdtree provides a minimalistic implementation of kd-tree. The implementation can be used either inside MATLAB by means of MEX calls, or as a standalone tool, directly from a C/C++ program. The image on the website has been creaed with "fulltest.m"This implementation offers the following...


Platforms: Matlab

The 2-column vector contains cities' coordinates. The algorithm generates the optimal path to visit all the cities exactly once, and return to the starting city.The algorithm has its limitations, and based on the cities' distribution on the map it may or may not give the optimal solution.It...


Platforms: Matlab

zooming a given image by a given positive factor can be done..copy nearest_neighbor_zoom.m file and the image file that should be zoomed to your work directory.if the name of the image file is image.jpg and the zooming factor needed is 2.23,run following command on command...


Platforms: Matlab

This implementation includes modules for radiometric enhancement of colored 3D point clouds and nearest neighbor search. The introduced method detects the overlapping parts and derives a transformation function that reduces radiometric differences. This transformation function can be in one of...


Platforms: Matlab

function nimg = imresample(oldpixsize,img,newpixsize,intmethod)% This function resamples the images at the new grid points% defined by the new pixel sizes. It assumes that intensities are% defined at pixel centers%% img : original image to be resampled% nimg : newly sampled image% oldpixsize : a...


Platforms: Matlab

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