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Nodes within a queue can also be weighted, which will make some of them more likely to appear at the top or end of the list.

Installation:

Unpack in your modules folder (usually '/sites/all/modules/')
Enable under Administer > Site Building > Modules



Views Cloud allows you to build Web 2.0 style tag-clouds of any data retrieved by Views. Want to show a cloud of usernames weighted by age? Node titles weighted by number of reads? No problem. The module provides a 'standard' view style for custom...



The fitting of smooth curve through a set of data points and extention to this is the fitting of 'best fit' spline to a large set of data points which show the cerrent trend but which do not all lie above the curve. The method involves cluster...



ICP - Iterative Closest Point algorithm, c++ implementation. Handles only points in R^3. Makes use of a kd-tree for closest-point search. ICP finds the transformation of points in data to fit points in model. Fit with respect to minimize a...



Includes two functions: vec2frames and frames2vec.

vec2frames - splits signal into overlapped frames using indexing and optionally applies windowing.

frames2vec - converts frames to signal using weighted overlap-and-add...



The main program is Main_sound_and_vibs.m. Up to 100 metrics are for each of sound, hand arm vibrations, whole body vibrations, and motion sickness. Main_sound_and_vibs calls the primary depedent function



A Matlab library for Diffusion Weighted MRI (DW-MRI) Processing, Diffusion Tensor (DTI) Estimation, Diffusion Kurtosis (DKI) Estimation, Higher-order Diffusion Tensor Analysis, Tensor ODF estimation, Visualization and more.



PURPOSE: calculate local Moran's I for a local grid using a weight matrix.
-------------------------------------------------------------------
USAGE: m = moransI(grid, W, s);
where: [grid] is the matrix to analyze
[W] is the...



The package comprises of a graphical utility to place uniform B-spline control points and see how the B-spline is redrawn as control points or control point weights are adjusted, and functions to estimate B-splines with known knot vector, given a...



Instructions:
1. Give the symbol of the stock.
2. Give today's date in the specific format (months-days-year).
3. 'GET DATA' button fetches the data from Yahoo server.
4. Choose the number of days you want to examine.
5....



This package provides implementations of the Levenshtein, Damerau-Levenshtein, and a weighted edit distance for strings as well as key lists (i.e. cell arrays of strings)



This function finds the weighted center of the 3D image A. The weights are the pixel values of A. This can be used to locate objects in 3D medical images.



Calculates the geometric mean of a vector X (first argument) weighted by the values of another vector W (second argument). It may be already available, but I didn't find it, so here it is, just in case.



This is a scaled down easy version of the state estimation module that is run in energy control centres. It has the following features:

(1) option to enter the weights for your measures
(2) an implementation of the weighted least...



Adds a sidebar widget to display the most popular posts. The stats are generated on the data provided by the OWA plugin. There are three algorithms which you can choose:
* Popular : the most page visits for a given date range
*...



This is an implementation of the dijkstradlDLs algorithm, which finds the minimal cost path between two nodes. ItdlDLs supposed to solve the problem on
positive weighted instances.



Color Scatter Plot for random data point visualization. It mimics a continuous 2D probability distribution.
coldotplot(x,y,s0,Ad) creates at scatterplot with dots of sizes that correspond to their density in the swarm of points. The larger...



LineFit is a port, with an additional forecast function, of the perl module Statistics::LineFit. LineFit does weighted or unweighted least-squares line fitting to two-dimensional data (y = a + b * x). (This is also called linear regression.)



This m-file calculates any number of l-moments for given data vector X. It uses probability weighted moments (can actually edit the file to give any number of pwm's) and the coefficients of the shifted Legendre polynomial to calculate the l-moments.



This function computes the weighted peak signal to noise ratio between two images.