Arithmetic Means

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...

Advanced Arithmetic Calculator is a small, simple, easy to use application specially designed to help you solve sums of numbers, subtractions of numbers, multiplications and divisions of numbers. Basically this tool will open in your command prompt enabling you to enter the equation to solve and...

Arithmetic coder script is a simple but slow way of compression using arithmetic coding.


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

This file contains MATLAB functions, m-files, that do Huffman coding and arithmetic coding of integer (symbol) sequences. Complete coding may be done by calling an easy to use main program (or main function), where input argument is the sequences you want to compress and the output is the...


Platforms: Matlab

Arithmetic coding and decoding for Text Compression


Platforms: Matlab

It calculate the arithmetic code of a string of char, subject to an alphabet "A" and a probability distribution "P". http://en.wikipedia.org/wiki/Arithmetic_coding


Platforms: Matlab

It is a matlab function that codes a string of char with Arithmetic coding.res=arithmetic_code(alphabet, distr_pr, string)'alphabet' is a vector that contains the char used in the string 'string'; 'string' is the string to codify; 'distr_pr' is the probability distribution of the alphabet's...


Platforms: Matlab

This program illustrates the Fuzzy c-means segmentation of an image.This program converts an input image into two segments using Fuzzy k-means algorithm. The output is stored as "fuzzysegmented.jpg" in the current directory.This program can be generalised to get "n" segments from an image by...


Platforms: Matlab

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

Interval arithmetic for Ada is a math library that provides an implementation of intervals for Ada. It includes arithmetic and relational operations. Examples: Tri-state logic The package Intervals serves as a root package and also provides tri-state logic necessary to define relational...


Platforms: *nix

StatsEasy Starter applet allows computing of Range, Median, Arithmetic, Geometric, and Harmonic means. Mean Deviation, Standard Deviation, Variance, Coefficient of Variance, Moments and Moments ratios for ungrouped data. If you have knowledge of basic to intermediate statistics this applet should...


Platforms: Any Browser + Java

Libeval provides simple means of evaluating simple arithmetic expressions involving literal numeric values, variables and functions using the addition (+), subtraction (-), multiplication (*), division (/), modulo division (), exponentiation (^), sign (+-), percentag (%) and grouping (())...


Platforms: *nix

This script achieves exactness by manipulating values stored as a long integer mantissa with an integer exponent (base two). All arithmetic operations are exact except for division which has regular floating point precision.


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

FCMTHRESH Thresholding by 3-class fuzzy c-means clustering [bw,level]=fcmthresh(IM,sw) outputs the binary image bw and threshold level of image IM using a 3-class fuzzy c-means clustering. It often works better than Otsu's methold which outputs larger or smaller threshold on fluorescence images....


Platforms: Matlab

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

K-means image segmentation based on histogram to reduce memory usage which is constant for any image size.


Platforms: Matlab

This code is just a matlab vision of Dirk-Jan Kroon who published Fast Non-Local Means 1D, 2D Color and 3D(http://www.mathworks.com/matlabcentral/fil...2d-color-and-3d).


Platforms: Matlab

This function NLMF performs Non-Local Means noise filtering of 1D signal, 2D grey/color or 3D image data. The function is partly c-coded for cpu efficient filtering. Suitable for almost every image data type such as MRI, CT and normal photos.Warning !, Image filtering removes noise, but important...


Platforms: Matlab

Multivariate normal simulations where sample mean and covariances match the respective population moments, refer toA. Meucci (2009), "Simulations with Exact Means and Covariances",Latest version of article and code available at http://symmys.com/node/162


Platforms: Matlab

A toolbox for the non-local means algorithm.by Gabriel PeyrdoTe, 2007.The non-local means is an algorithm introduced by A. Buades, B. Coll, J.M Morel.The main reference for the algorithm is A. Buades, B. Coll, J.M Morel, "A review of image denoising algorithms, with a new one" , Multiscale...


Platforms: Matlab