K Factor

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

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

[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

The code is explained in the article: Okunev, Pavel, "Fast Computation of the Economic Capital, the Value at Risk and the Greeks of a Loan Portfolio in the Gaussian Factor Model" (July 1, 2005). http://ssrn.com/abstract=758505 This implements one factor Gaussian model. [pd]=pdgs(L,w,p,LL,N) L =... Platforms: Matlab

This code simulates the Schwartz-Smith two Factor model form the paper Short-Term Variations and Long-Term Dynamics in Commodity Prices by Eduardo Schwartz and James E. Smith.I use the same parameter and data set time series of crude oil and obtain the same results as given in Figure 4 in their... Platforms: Matlab

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

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

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

ToleranceFactor computes the exact tolerance factor k for the two-sided (optionally also for the one-sided) p-content and gamma-confidence tolerance interval TI = [Xmean - k * S, Xmean + k * S],where Xmean = mean(X), S = std(X), X = [X_1,...,X_n] is a random sample from the distribution... Platforms: Matlab

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

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

Calculate structure factor based on positions of scatterers in real-space. Functions for one and two dimensions.You supply system size and scatterer positions on a integer lattice, function returns structure factor and momentum-space coordinates for plotting. Two or three dimensional plot is also... Platforms: Matlab

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

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

This allows overlaying two images for validation and for placing registration landmarks.This is a bug-fix of an earlier ImageOverlay.m and the transparency factor is now adjustable. Platforms: Matlab

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

KernSafe K-Backup is an advanced and powerful, full-featured automatic network level backup software, which contains two parts, K-Backup and K-Backup Server, K-Backup can be scheduled to backup data files to data-store (K-Backup Server) in minutely, hourly, daily, on specified time etc. Being a... Platforms: Windows, Windows 8, Windows 7

K PHP Develop is an integrated Web development tool designed for team work. It supports HTML, javascript, PHP, and SQL syntax highlighting and file locking. It also has a query analyzer and database access (depends on KSQL plugins). Platforms: *nix

XMOS based, USB2 audio card, low power consumption, small form factor, 8 synchronous input channels and 1 stereo output channels. Features - Connectivity USB Type B - Powered by computer via the USB port - P4 Molex Connectivity - External power supply 7-36 volts, 2.3 watts to 3.2 watts... Platforms: *nix

K-aRadio is a GUI programm to control Aver USB Radio MR-800(or B800) on Linux. Platforms: *nix