Cluster Sampling Technique

The CHIP Cluster Generator attempts to create spatio-temporal cluster data in an automated fashion to help evaluate epidemic detection software. The spatio-temporal data will then be used to determine robustness of spatial detection algorithms. Platforms: Windows, Mac, Linux

Cluster Networks are a new style of neural simulation / neural network modeling, that models networks of neural populations ('clusters') that transform and transmit information using precisely-timed, graded bursts ('pulses' or 'volleys') of firing. Platforms: Windows, Mac, Linux

PBS Cluster Viz is a project to display information useful to admins and users about a computing cluster managed by a PBS-compatible resource manager. Information includes load and job distribution. Interactive as well as static output is available. Platforms: Windows, Mac, Linux

python-cluster is a package that allows grouping a list of arbitrary objects into related groups (clusters). Simply give it a list of data and a function to determine the similarity between two items and you're done. Platforms: Windows, Mac, Linux

With the release of Reason 5, Live Sampling has arrived. Watch as Mo Volans demonstrates essential skills 7 workflow techniques for sampling in Reason 5. Reason is a sound designer’s dream machine. And now with Live Sampling all those amazing Platforms: Mac

function [Xcoord,Ycoord,Zcoord] = fcc_cluster(L,M,a)generates coordinates of atoms inside fcc-cluster (face-centered-cubic)with cuboctatruncated shape (hovewer one can change from {111} to {110} truncation)it's arguments: L,M - parameters of cluster (L - size of the cluster,number of unit cells... Platforms: Matlab

The model simulates three phase inverter with symmetric PWM modulation in which reference is sampled at the positive peak of the carrier and is held constant till the next positive peak of the carrier appears. The model demonstrates symmetric regular sampling at positive peaks of carrier and... Platforms: Matlab

Cluster validation is an important and necessary step in cluster analysis. This visual cluster validation tool CVAP based on GUI provides important tools and convenient analysis environment for validity evaluation of clustering solutions, estimation of the number of clusters and performance... Platforms: Matlab

function [Xcoord,Ycoord,Zcoord] = bcc_cluster(L,M,a)generates coordinates of atoms inside bcc-cluster (base-centered-cubic)with cuboctatruncated shape (hovewer one can change from {111} to {110} truncation)it's arguments: L,M - parameters of cluster (L - size of the cluster,number of unit cells... Platforms: Matlab

MATLAB Implementation and demo to design of filters in a hybrid FB with fractional delays. The theory is described in the paper:Ha T. Nguyen and Minh N. Do, Hybrid filter banks with fractional delays: Minimax design and application to multichannel sampling, IEEE Transactions on Signal Processing,... Platforms: Matlab

In the paper "An estimation technique for Time Indexed gaussian Mixture Models", we propose a model specification that can be used to describe data with spikes, jumps, mean reversion, geometric brownian motion, you name it...We then develop an estimation procedures to extract the parameters from... Platforms: Matlab

This is sampling utility implementing Latin hypercube sampling from multivariate normal, uniform & empirical distribution. Correlation among variables can be sprecified. Platforms: Matlab

It generates a stochastic field on a squared space. Samples are created by Latin hypercube sampling and the spatial correlation is performed by an algorithm based on Cholesky decomposition. Example inside. Platforms: Matlab

1. Find the edge image using the Canny edge detector.2. Extract edges (curves) from the edge image: 2a. fill gaps if they are within a range and select long edges, 2b. find T-junctions and mark them as T-corners. 2c. obtain the `status' of each selected edge ${Gamma}$ as either `loop' or... Platforms: Matlab

The definition of Cluster Polynomials was given in Tech. Report DEMO2011/1 available athttp://cag.dat.demokritos.gr/publications/TR2011-1.pdfThere are two versions.binroots that was used to produce the images of the last four figures in the report above and a more advanced version that can be... Platforms: Matlab

This toolbox extends the FindCore toolbox by first clustering the input set of structural models (create_multiensemble) and then superimposing each cluster separately. This allows for appropriate assessment of the uncertainty or flexibility in protein structure when more than one inherent... Platforms: Matlab

Implementations of the Hit-And-Run and Gibbs sampling algorithms for the generation of uniformly distributed random vector x satisfying the system of linear inequalities A.x Platforms: Matlab

THIS ALGORITHM COMPUTES FRACTAL DIMENSION USING SEMI-VARIANCE TECHNIQUE. IT HELPS TO ASSESS THE DIRECTIONALITY OF THE TEXTURE PATTERN IN AN IMAGE. SEMI-VARIANCE ALONG HORIZONTAL DIRECTION IS DEFINED AS THE SUMMATION OVER ALL PIXELS N, OF THE DIFFERENCE IN INTENSITIES I(x,y) OF PIXELS SEPARATED BY... Platforms: Matlab

Code computes Time domain and frequency domain plot of input signal,Pam Signal, Recovered Signal. Code also Computes Distortion%%%%%% PSD Of PAM Signal is stored in an array Power_PAM that has powers of PAM signal stored in [Pfm Pfs-fm pfs+fm .........] with units watts. Power_PAM_dbw stores PSD... Platforms: Matlab

The program does interpolation or decimation on a given 1-d data in an array.Given X with sampling rate Ft Hz and is used to generate another sequence Y with sampling rate Ft' Hz, then Sampling Rate ratio R is given by, Ft' R = ---- Ft if R > 1, sampling process is known as interpolationR < 1,... Platforms: Matlab