The software balances the necessary algorithmic requirements with a simple user interface and is used for:
- Data mining, visualization and organization;
- Classification analysis to identify the origin of a sample;
- Quantitative analysis to estimate a concentration or other property that is hard to measure more directly
- Unmixing signals to identify and apportion the component parts of a mixture
Pirouette Features:
- Rotating 3-dimensional scatter plot enhances visualization
- Dynamic linking highlights samples across views
- Decision diagrams facilitate understanding
- Outlier diagnostics emphasize unusual samples
- HCA dendrogram illustrates similarities among samples
- SIMCA class projections show category relationships
- Run configuration dialog allows flexible batch setup
- Show all computed results in a single compact view
- View multiple scatter plots in a single multiplot
[slideshare id=184772231&doc=piro45specs1-191021124812&type=d]
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