Kdtree Nearest Neighbors

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

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

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

Measures of Analysis of Time Series (MATS) toolkit computes a number of different measures of analysis of scalar time series (linear, nonlinear and other statistical measures). It also contains pre-processing tools (transformations and standardizations), data splitting facility, resampled data... Platforms: Matlab

A geodesic grid is an even grid over the surface of a sphere. The algorithm is optimized for a grid generated by GridSphere and won't work on an arbitrary geodesic grid. All code is compatible with GNU Octave. The GridSphere function is available on the MATLAB file exchange at... Platforms: Matlab

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

I was playing the game Scramble on my iPod touch, and I realized that I wasn't very good. But the algorithmic challenge of writing a program to solve the Scramble (same as Boggle) game was too tasty to pass up. It was indeed quite challenging, but quite satisfying in the end. The program first... Platforms: Matlab

LifeLab is a Mac application for exploring John Conway's Game of Life and other cellular automata. CAs were first studied in the mid-1950s by Stanislaw Ulam and John von Neumann. The subject became much more widely known in 1970 when Life was described by Martin Gardner in his Scientific American... Platforms: Mac

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

XLSTAT is a complete analysis and statistics add-in for Excel. It has been developed since 1993. XLSTAT includes more than 240 features in general or field-specific solutions. The use of Excel as an interface makes XLSTAT a user-friendly and highly efficient statistical and multivariate data... Platforms: Windows, Windows 8, Windows 7, Windows Server

A MATLAB spectral clustering package to handle large data sets (200,000 RCV1 data) on a 4GB memory general machine. We implement various ways of approximating the dense similarity matrix, including nearest neighbors and the Nystrom method. Platforms: Windows, Mac, BSD

This SMAWK algorithm takes as input a function for computing matrix values, and searches for the position of maximum value in each row. The matrix must satisfy the "totally monotone" property: in each submatrix (in particular each 2x2 submatrix) the positions of the maxima must move leftward as... Platforms: Windows, Mac, *nix, Python, BSD Solaris

All this files I've done when I took course in image proc, I haven't changed a thing, hope it'll be useful to students and interested in subject. All codes have comments, it's very easy to understand, as well there is my report file, find there all theoretical background and descriptions.Feature... Platforms: Matlab

Syntax: ui=NewtFit(x,y,z,u,xi,yi,zi)3D interpolation. It may be used where griddata3 fails to find a triangularization of the datagrid (x,y,z). The function uses a modified 4 point Newton interpolation formula for vector arguments in 3D instread of scalars used in 1D. The interpolation is... Platforms: Matlab

The STP IsingMeanFieldSolution program uses Newton's method to calculate solutions to the mean-field approximation to the equation of state of the Ising model. The program also displays the free energy as a function of the magnetization m for given values of T and the magnetic field H. The... Platforms: Mac

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. 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

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