Principal Component Economic


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MMPRO  v.0.7 Beta

Principal Component Analysis (PCA) in distance space
2. Cluster Analysis in PCA and Dihedral Angles SpacesWhen you first start up a software you will see a main display window and the manubar across the top of it. Practically all MMPRO commands are ...

PCAGEN  v.1.2.1

Principal Component Analysis made easy. PCAGEN is a computer package for windows which perform Principal Component Analysis (PCA) on gene frequency data. Graphical ordinations of samples is provided and the graph can be saved. The software also tests ...





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XLSTAT  v.2022.4.5



It includes regression (linear, logistic, nonlinear), multivariate data analysis (Principal Component Analysis, Discriminant Analysis, Correspondence Analysis, Multidimensional Scaling, Agglomerative Hierarchical Clustering, K-means, K-Nearest ...

The Unscrambler X  v.10.2

FEATURES: TE Analysis Methods TE Descriptive statistics (Mean, Standard Deviation, Box-Plot, skewness, kurtosis, correlation matrix) TE Principal Component Analysis (PCA) TE Multivariate Curve Resolution (MCR) TE Regression (MLR, PCR, PLS-R, 3-way ...

StatistiXL  v.1 8

Tests provided by statistiXL include (but are not limited to), Analysis of Variance, Cluster Analysis, Contingency Tables, Correlation (Simple, Partial, Multiple and Canonical), Linear and Circular Descriptive Statistics, Classification and Grouping Discriminant Analysis, Factor Analysis, Goodness of Fit Tests such as Binomial, Circular, Normal and Poisson, Simple and Multiple Linear Regression, Regression Comparison, Nonparametric Tests such as Friedman, Kruskal-Wallis and Mann-Whitney, Principal Component Analysis, ...

WinChips  v.4 7

Chips, the Copenhagen Image Processing System, is a general-purpose software package for remote sensing image processing and spatial data analysis with extensive support for NOAA AVHRR data.
Chips can be used both as a stand-alone system, as well ...

ProStat  v.5.50.00101


- easy to learn, easy to use with step-by-step guided tutorial lessons
- a wide range of statistical techniques
- data interpolation and regression
- experimental model builder
- multiple regression and stepwise regression
- logistic regression
- descriptive statistics
- data testing: t-test, F-test, nonparametric
- ANOVA, MANOVA, and ANCOVA
- factor analysis with rotation
- principal component analysis
...

NMath  v.5.0



NMath features include:

-matrix and vector classes
-random number generators
-Fast Fourier Transforms (FFTs)
-numerical integration
-linear programming
-linear regression
-curve and surface fitting
-optimization
-hypothesis tests
-analysis of variance (ANOVA)
-probability distributions
-principal component analysis
...

ESOMet  v.1.0

Hierarchical cluster analysis made easy. eSOMet is a new program that combines established algorithms like hierarchical cluster analysis (HCA) with modern methods like emergent self-organizing maps (ESOMs) and integrates those in an analysis pipeline ...

Jalview  v.2.7

Sequence clustering using principal component analysis.
14. Removal of redundant sequences.
15. Smith Waterman pairwise alignment of selected sequences.
16. Annotation
17. Use web based secondary structure prediction programs (JNet).
18.

VisualStat  v.9.0

Principal component analysis and Agglomerative Hierarchical Clustering. All test results have an associated report which provides a short conclusion and other descriptions to assist in the interpretation.

VisualStat is a major integrated development ...

Accord.NET Framework  v.2.8.1

It includes several methods for statistical analysis, such as Principal Component Analysis, Linear Discriminant Analysis, Partial Least Squares, Kernel Principal Component Analysis, Kernel Discriminant Analysis, Logistic and Linear Regressions and Receiver-Operating ...

Visual Stats  v.2.0

Principal component analysis. Factor analysis. Correspondence analysis.

Modular toolkit for Data Processing MDP  v.3.0

The base of available algorithms is steadily increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several ...

MetaTree Component (for Delphi 5,6,7)

The component distribution includes a sample application MTDemo.exe both as a compiled executable and with sources.

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