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Commit afa5bb65 authored by DIANE's avatar DIANE
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With NIRS workflow, you can efficiently visualize your spectra to see their trend.
![Image Alt Text](../figs/DataVisualization.png)
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![Image Alt Text](./figs/DataVisualization.png)
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With NIRS Workflow, you can perform an exploratory data analysis on your spectral data, specifically you can perform dimensionality reduction to concentrate the information provided by spectra on the samples, allowing you to see similarities and differences between samples based on compressed spectra that are visualized in 1D, 2D, or 3D space.
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![Image Alt Text](../figs/DimensionalityReduction.png)
![Image Alt Text](./figs/DimensionalityReduction.png)
<p style='text-align: justify;'>
If you find it difficult to discern similarities and differences between spectra, the app proposes specific Machine Learning methods, specifically clustering methods, to automatically accomplish the task.
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![Image Alt Text](../figs/Clustering.png)
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![Image Alt Text](./figs/Clustering.png)
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NIRS Workflow features a section that serve for supervised predictive modelling. It enables you to create a predictive model that is supposed to predict your target variable from spectral data.
![Image Alt Text](../figs/PredictiveModeling.png)
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![Image Alt Text](./figs/PredictiveModeling.png)
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If you have a large set of spectra, and want to sample a representative subset to use for any objective. NIRS Workflow features a functionality that can accomplish the task for you.
![Image Alt Text](../figs/Sampling.png)
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![Image Alt Text](./figs/Sampling.png)
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site_name: NIRS Workflow
site_name: NIRS Workflow - Documentation
site_author: 'Nicolas.barthes@cefe.cnrs.fr'
copyright: 'Est. 2016, Copr. <a href="https://0x4447.com">0x4447, LLC.</a>'
use_directory_urls: true
nav:
- Home: 'index.md'
- Dimensionality Reduction: 'DimensionalityReduction.md'
- Clustering Methods: 'ClusteringAnalysis.md'
- Models Creation: 'ModelCreation.md'
- Prediction Making: 'PredictionMaking.md'
- HOME: 'index.md'
- USE CASES:
- DATA VISUALIZATION: 'USE CASES/DataVisualization.md'
- EXPLORATORY DATA ANALYSIS(EDA): 'USE CASES/EDA.md'
- SAMPLES SELECTION: 'USE CASES/SamplesSelection.md'
- PREDICTIVE MODELLING: 'USE CASES/ModelCreation.md'
- PREDICTION MAKING: 'USE CASES/PredictionMaking.md'
- GETTING STARTED:
- HOME WORKSPACES:
- Initial webpage load: 'GETTING STARTED/Initial webpage load.md'
- Simple or advanced interface: 'GETTING STARTED/Simple or advanced interface.md'
- Tabs : 'GETTING STARTED/Tabs.md'
- QUICK-START GUIDE:
- Form completion: 'GETTING STARTED/Input.md'
- Uploading your data: 'GETTING STARTED/DataImport.md'
- Data visualization (for tabs requiring data uploading): 'GETTING STARTED/DataVisualization.md'
- Exploratory data analysis: 'GETTING STARTED/EDA.md'
- Samples selection: 'GETTING STARTED/SamplesSelection.md'
- Predictive modeling: 'GETTING STARTED/ModelCreation.md'
- Prediction making: 'GETTING STARTED/PredictionMaking.md'
- Reporting and results downloading: 'GETTING STARTED/Reporting.md'
- RESOURCES:
- Frameworks and algorithms: 'RESOURCES/Frameworks and algorithms.md'
- SOURCE CODE:
- data visualization: 'RESOURCES/ModelCreation.md'
- samples selection: 'RESOURCES/ModelCreation.md'
- calibration development: 'RESOURCES/ModelCreation.md'
- prediction: 'RESOURCES/ModelCreation.md'
- REFERENCES: 'RESOURCES/References.md'
- CITATION: 'GETTING STARTED/CitationPermission.md'
- SUPPORT: 'Support.md'
theme:
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features:
- navigation.tabs
- navigation.tabs.sticky
- navigation.sections
- navigation.expand
- navigation.path
- navigation.indexes
- toc.integrate
- navigation.top
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......@@ -21,6 +56,7 @@ theme:
- content.tabs.link
- content.code.annotation
- content.code.copy
- toc.integrate
language: en
palette:
- scheme: default
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