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Vera K Enterprises Wedding Sampler software
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Vera K Enterprises Wedding Sampler

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Added: May 10, 2013 | Visits: 340

K-Pregs 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

Added: September 07, 2013 | Visits: 533

K-means algorithm demo 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

Added: March 29, 2013 | Visits: 464

K-Shortest Path 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

Added: May 09, 2013 | Visits: 408

Fuzzy k-NN 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

Added: April 26, 2013 | Visits: 302

k-Means Projective Clustering 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

Added: March 29, 2013 | Visits: 420

Extended (n,k)-gray code 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

Performing Pareto set membership tester for sets of points in K-dimensions 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


Added: June 14, 2013 | Visits: 271

K-medoids 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

Added: March 22, 2013 | Visits: 454

K-means image segmentation 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

Added: August 13, 2013 | Visits: 356

Fuzzy k means 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

Added: May 03, 2013 | Visits: 340

K nearest neighbor search 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

Added: May 15, 2013 | Visits: 363

Fast K-means [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

Added: April 14, 2013 | Visits: 363

k indexes from 1:n 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

Added: September 14, 2013 | Visits: 510

k-threshold system of deciphering N 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

Added: May 07, 2013 | Visits: 378

Efficient K-Nearest Neighbor Search using JIT 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

Added: June 20, 2013 | Visits: 257

Efficient K-Means Clustering using JIT 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

Added: September 07, 2013 | Visits: 367

Double Group k.p Theory in bulk SiGe 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

Added: April 20, 2013 | Visits: 319

k-clique algorithm 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

Added: May 29, 2013 | Visits: 192

The k-LiMapS algorithm 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

Added: April 02, 2013 | Visits: 509

k-mysql 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

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