Vera K Enterprises Wedding Sampler
K-Pregs is a PHP library. It comes with many functions related to Regular Expressions. All these are Perl compatible, fast and very efficient functions. Some example validation functions: Visa, MasterCard, Email, Url, etc...
Platforms: Windows, Mac, *nix, PHP, BSD Solaris
License: Freeware | Download (58): K-Pregs Download |
The k-means algorithm is widely used in a number applications like speech processing and image compression.This script implements the algorithm in a simple but general way. It performs four basic steps.1. Define k arbitrary prototypes from the data samples.2. Assign each sample to the nearest...
Platforms: Matlab
License: Freeware | Size: 10 KB | Download (45): K-means algorithm demo Download |
This function is based on Yen's k-Shortest Path algorithm (1971)It retuns:1) [shortestPaths]: the list of K shortest paths (in cell array 1xK)2) [totalCosts] : costs of the K shortest paths (in array 1xK)Yen's algorithm prevents loops.This function calls a slightly modified/simplified function...
Platforms: Matlab
License: Freeware | Size: 10 KB | Download (41): K-Shortest Path Download |
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
License: Freeware | Size: 10 KB | Download (39): Fuzzy k-NN Download |
An implementation of "k-Means Projective Clustering" by P. K. Agarwal and N. H. Mustafa.This method of clustering is based on finding few subspaces such that each point is close to a subspace.
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 10 KB | Download (45): k-Means Projective Clustering Download |
Our basic idea is based on (n,k)-gray code which was introduced in one paper named :"Generalized Gray Codes with Applications". Our extention is allowing each digit ranged from different digit which is widely useful in some situations.For example, (3,2)-Gray code is (0,0), (0,1),...
Platforms: Matlab
License: Freeware | Size: 10 KB | Download (41): Extended (n,k)-gray code Download |
isParetoSetMember returns the logical Pareto membership of a set of N points in K dimensions. It takes as input a N-by-N matrix and return a N-binary-array, denoting for each of the N points, whether it is Pareto (1) o not (0).The concept of Pareto dominance considered herein is the standard...
Platforms: Matlab
License: Freeware | Size: 30.72 KB | Download (40): Performing Pareto set membership tester for sets of points in K-dimensions Download |
Efficient implementation of K-medoids clustering methods. This method is similar to K-means but more robust.For more detail, please seehttp://en.wikipedia.org/wiki/K-medoidsInput data are assumed column vectors.tryload data;label=kmedoids(X,3);scatterd(X,3);
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 20.48 KB | Download (40): K-medoids Download |
K-means image segmentation based on histogram to reduce memory usage which is constant for any image size.
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 10 KB | Download (40): K-means image segmentation Download |
Codes for fuzzy k means clustering, including k means with extragrades, Gustafson Kessel algorithm, fuzzy linear discriminant analysis. Performance measure is also calculated.
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 20.48 KB | Download (41): Fuzzy k means Download |
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...
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 10 KB | Download (42): K nearest neighbor search Download |
[L, C, D] = FKMEANS(X, k) partitions the vectors in the n-by-p matrix Xinto k (or, rarely, fewer) clusters by applying the well known batchK-means algorithm. Rows of X correspond to points, columns correspond tovariables. The output k-by-p matrix C contains the cluster centroids. Then-element...
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 10 KB | Download (39): Fast K-means Download |
http://simulations.narod.ru/Using:ind=all_combinations(n,k)Number of all posible variants is nv=C(n,k)=n!/(k!*(n-k)!) (binomial coefficient)ind is nv-by-k matrix. Example, 2 indexes from 1 2 3:all_combinations(3,2)ans = 1 2 1 3 2 3Example 3 from 5:all_combinations(5,3)ans = 1 2 3 1 2 4 1 2 5 1 3...
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 10 KB | Download (39): k indexes from 1:n Download |
This programme is an application of the Chinese Remainder Theorem for Integers - for obtaining a solution to the "k-threshold system for sharing a secret". The concept is explained in the book "A course in Number Theory and Cryptography by Neal Koblitz" in Ch 1, Prob 24 / P27 and it's solution in...
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 10 KB | Download (44): k-threshold system of deciphering N Download |
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...
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 10 KB | Download (40): Efficient K-Nearest Neighbor Search using JIT Download |
This is a tool for K-means clustering. After trying several different ways to program, I got the conclusion that using simple loops to perform distance calculation and comparison is most efficient and accurate because of the JIT acceleration in MATLAB.The code is very simple and well documented,...
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 10 KB | Download (44): Efficient K-Means Clustering using JIT Download |
Using the Double Group Formulation of k.p Theory, one may return full zone bulk band diagrams for SiGe alloys. Second order degenerate perturbation theory returns effective mass Hamiltonians and canonical transformations may return arbitrary oriented growth directions.This all inclusive code will...
Platforms: Matlab
License: Freeware | Size: 798.72 KB | Download (39): Double Group k.p Theory in bulk SiGe Download |
k-clique algorithm as defined in the paper "Uncovering the overlapping community structure of complex networks in nature and society" - G. Palla, I. DerdoTenyi, I. Farkas, and T. Vicsek - Nature 435, 814d-deOCt818 (2005)[X,Y,Z] = k_clique(k,A)Inputs:k - clique sizeA - adjacency matrixOutputs:X -...
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 10 KB | Download (45): k-clique algorithm Download |
A Fixed-Point Iterative Schema for Error Minimization in k-Sparse DecompositionA a new algorithm to solve the sparse approximation problem over redundant dictionaries based on LiMapS, where the input signal is restricted to be a linear combination of k atoms from a fixed dictionary.
Platforms: Matlab
License: Shareware | Cost: $0.00 USD | Size: 286.72 KB | Download (39): The k-LiMapS algorithm Download |
k-mysql is a simple MySQL database access wrapper. It can establish MySQL database connection, execute SQL queries and retrieve the query result sets into arrays.k-mysql also counts the number of queries that are executed and measures the time that each query takes to execute.The number of...
Platforms: PHP
License: Freeware | Size: 10 KB | Download (43): k-mysql Download |