Software Listing: Cluster Analysis

A non-parametric filter for image restoration using cluster analysis written in C and GTK+. The first source code may be found in http://smoked.homelinux.org/.

  • Platform: Linux, Unix

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 comparison between candidate clustering algorithms. CVAP includes 4 External validity indices, 14 Internal validity indices and 5 clustering algorithms (K-means, PAM, hierarchical clustering and etc.). It supports other clustering algorithms via loading a solution file with class labels, or by adding new codes.

  • Platform: Matlab, Scripts

Microsoft MapPoint add-in that performs cluster analysis on MapPoint datasets. Cluster results can be drawn as map annotation (centroid pushpins and/or cluster boundary shapes) and exported to Microsoft Excel. MPCluster works with most MapPoint dataset types, including pushpins and shaded areas maps. Various parameters can be used to restrict the minimum or maximum size of clusters, as well as the maximum number of clusters to find, and the minimum distance between cluster centers. MPCluster can use data field to either weight cluster centroid locations and/or constrain cluster size. MPCluster can be run multiple times overlaying multiple annotation layers to aid comparisons.

  • Platform: Win7 x32, Windows Vista, WinOther, WinVista

Clustering is known as best process of grouping the comments of similar kind in small size groups into bigger population. It even has extensive application in analytics of the business. The queries facing by businesses is that how to manage great sums of accessible information in significant structures. Or smash the huge heterogeneous populace in small size of harmonized and organized groups. The Analysis of cluster is an analytical tool of the data analysis which aims at cataloging dissimilar objects in diverse groups in the manner which the level of connection among 2 objects is max in the case if they belong to similar group as well as least if not.

  • Publisher: OLSOFT
  • Date: 26-07-2014
  • Size: 2331 KB
  • Platform: Win7 x32, Win7 x64, Windows 8, WinOther, WinVista

An application for graph and network cluster analysis and visualization.
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  • Publisher: navry
  • Date:
  • Size: 3072 KB
  • Platform: Windows 7, WinOther, WinVista

statistiXL is a powerful data analysis add-in for Microsoft Excel. It has been written by scientists to meet the needs of anyone requiring a versatile statistics package that is quick to learn and easy to use. Tests include: ANOVA, Contingency Tables, Cluster Analysis, Correlation (Simple, Multiple, Canonical), Discriminant and Factor Analysis, Goodness of Fit, Regression, Nonparametric Tests, PCA, Uni and Multivariate t-Tests and many more..

  • Publisher: statistiXL
  • Date: 11-06-2003
  • Size: 7413 KB
  • Platform: WinOther
  • Kintecus
  • License: Shareware
  • Price: 645
  • Rating

The Kintecus simulation software has been cited in many peer reviewed journals: J. Phys. Chem.A, PCCP, J. Biol. Chem., Plas. Chem. Plas. Proc., Int. J. Chem. React. Tech, Arch. Bio. Chem. Bio. Phys., THEOCHEM, etc. It is an Industrial Strength/Research Grade chemical modeling, chemical kinetics and equilibrium software for simulation of combustion, nuclear, biological, enzyme, atmospheric and many other processes via a graphical interface. Kintecus features the ability to quickly run Chemkin models. Multiple Chemkin/freestyle thermodynamic databases can be used. Isothermal/Non-isothermal, adiabatic constant volume, constant pressure (variable volume) can easily be modeled with a flick of a switch.

  • Platform: Win2000, WinXP, Win7 x32, Win7 x64, Windows 8, Windows 10, WinServer, WinOther, WinVista, WinVista x64
  • Facelift
  • License: Freeware
  • Price: 0.00
  • Rating

Facelift is a visualization and analysis software for online social networking services. It displays a given community as a node-link diagram and provides several search / filtering functions as well as cluster analysis features..

  • Platform: WinOther

For validation of clustering results in cluster analysis, it is important to use some objective measures to evaluate the clustering quality. This tool provides programs of such validity indices, including 4 External validity indices and 8 Internal validity indices: Rand index, Adjusted Rand index, Silhouette, Calinski-Harabasz, Davies-Bouldin, Homogeneity, Separation, and etc. This tool is suitable for the performance comparison of different indices on the estimation of the number of clusters, algorithm design for applications by using or improving part codes, and etc..

  • Platform: Matlab, Scripts
  • CAWFSS
  • License: Freeware
  • Price: 0.00
  • Rating

Cluster Analysis Wrapped Feature Subset Selection (CAWFSS) is a collection of feature subset selection algorithms which use various cluster analysis algorithms as wrappers.
CAWFSS License - GNU Library or Lesser General Public License (LGPL).

  • Platform: WinOther

NeuroXL Package is a neural network toolkit for Microsoft Excel. It consists of NeuroXL Predictor and NeuroXL Clusterizer. NeuroXL Predictor add-in is a neural network forecasting tool that quickly and accurately solves forecasting and estimation problems in Microsoft Excel. It is designed from the ground-up to aid experts in solving real-world forecasting problems. NeuroXL Predictor interface is easy-to-use and does not require advanced knowledge of neural networks, and is integrated seamlessly with Microsoft Excel. Five transmission functions are now available to choose: Threshold, Hyperbolic tangent, Zero-based log-sigmoid, Log-sigmoid and Bipolar sigmoid.

  • Publisher: OLSOFT
  • Date: 26-07-2014
  • Size: 4033 KB
  • Platform: Win7 x32, Win7 x64, Windows 8, WinOther, WinVista

Cluster Sampling Analysis was specially designed in the Java programming language to help you compute your data.

Now you can make use of this handy and accessible application to analyze your cluster samplings in no time at all.


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  • Platform: WinOther

SciCraft is an open source data analysis software developed in Python which allows you to access advanced mathematical functions through an easy-to-use graphical interface. Typical methods can be anything from areas like statistics, chemometrics and artificial intelligence and from languages like Matlab/Octave and R. More and more methods will be supported by SciCraft as different [wiki:SciCraftManual#Workflows workflows] which handles them are developed. Methods for new or special problems can also be created and shared. SciCraft has recently been given a face lift and an interface adjustment, and the earlier interface is sometimes be referred to as OldSciCraft.

  • Platform: WinOther

VisualStat is a remarkably comprehensive visual statistics package. VisualStat incorporates all the descriptive statistics, parametric and nonparametric statistical methods, data transforms and charts you will need for processing, analyzing and presenting data. Multivariate procedures are included e.g. Principal component analysis and Agglomerative Hierarchical Clustering. All tests have associated report which give you a short conclusion and other facts to assist in getting the right one for the job. VisualStat has a well-designed user interface with all its statistical and charting procedures easily selected from menus.

  • Platform: WinOther

These are the M-files that accompany the webinar titled "New Statistics Tools in MATLAB and the Statistics Toolbox." View the recorded webinar here: http://www.mathworks.com/wbnr8328 This webinar goes through 2 demos, described below: 1) Analysis of survival data from motion controllers - this demo uses the Distribution Fitting Tool as well as command-line functions to fit distributions to censored reliability data from a motion controller. To run this demo, execute 'survivalscript.m' in cell execution mode. This demo is also used in the MATLAB Digest article titled "Modeling Survival Data with the Statistics Toolbox.

  • Platform: Matlab, Scripts

MVSP performs several types of eigenanalysis ordinations: principal components analysis (PCA), principal coordinates analysis (PCO), and correspondence/detrended correspondence analysis (CA/DCA). It also does canonical correspondence analysis (CCA), a technique highly popular in ecological studies.
"I found the program very easy to use. The GUI is intuitive and the graphing and report functions are EXCELLENT." - V.A., Panama

It can also perform cluster analysis, using 23 different distance or similarity measures and seven clustering strategies. A dual clustering option lets you produce dendrograms of both variables and cases in one step, along with a copy of the original data matrix, sorted in the same order as the dendrograms.

  • Platform: Win2000, Windows 7, WinOther, WinServer, WinVista

LigandScout 3.0 is a fully integrated platform for accurate virtual screening based on 3D chemical feature pharmacophore models. It offers seamless workflows, starting both from ligand- and structure based pharmacophore modeling, and includes novel high performance alignment algorithms for excellent prediction quality with unprecedented screening speed. Additionally, we have included user-friendly screening analysis tools, including the automated generation of ROC curves for performance assessments. All functions are accessible through a well elaborated graphic user interface that reflects our years of experience in creation of the most user-friendly pharmacophore modeling tools.

  • Publisher: Ligand
  • Date: 09-05-2012
  • Size: 158720 KB
  • Platform: WinOther
  • MVSP
  • License: Shareware
  • Price: 165.00
  • Rating

The name MVSP stands for Multi-Variate Statistical Package. MVSP was developed to be an inexpensive and easy to use program that performs a number of multivariate numerical analyses useful in many scientific fields. It calculates three basic types of eigenanalysis ordinations: principal components, principal coordinates, and correspondence/detrended correspondence analyses. MVSP uses the KCS desktop metaphor. You can spread out your data, the statistical results and graphs in front of you while you study them, just like paper on your desktop. It also has a notepad where you can jot down ideas and observations.

  • Platform: WinOther

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 analysis, that is, grouping the crude data into clusters and seed points are the limites of each cluster. The central for each clustrer become nodes through which a natural spline is fitted. There are five stages nessesary in the cluster analysis and calculation of node positions, summerised as follow: 1. starting with choosing seed points 2. determine two data point which are closest to each seed point (the nearest neighbour pair) 3.

  • Platform: Matlab, Scripts

In this prj we attempt to classify a number of Company Logos by assigning to each 2 distinct signatures extracted by a special horizontal and vertical scan of each image matrix. Each Logo picture is truncated to binary after resizing. This is done by the core routine imcount.m, while the main prog testpng.m runs a compelte test and displays results. Traces of each Logo could then be further processed by an appropriate learning system like a Neural Net, an Inference Engine, etc. The entropic-like index used for classification is better explained in the associated report downloadable from http://cag.

  • Platform: Matlab, Scripts

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