Python library for multidimensional analysis, classification - clustering analysis
Project description
scientisttools : Python library for multidimensional analysis
About scientisttools
scientisttools is a Python package dedicated to multivariate Exploratory Data Analysis and clustering analysis.
Why use scientisttools?
-
It performs classical principal component methods :
- Principal Components Analysis (PCA)
- Principal Components Analysis with partial correlation matrix (PartialPCA)
- Exploratory Factor Analysis (EFA)
- Classical Multidimensional Scaling (CMDSCALE)
- Metric and Non - Metric Multidimensional Scaling (MDS)
- Correspondence Analysis (CA)
- Multiple Correspondence Analysis (MCA)
- Factor Analysis of Mixed Data (FAMD)
- Multiple Factor Analysis (MFA)
- Multiple Factor Analysis for qualitatives/categoricals variables (MFAQUAL)
- Multiple Factor Analysis of Mixed Data (MFAMIX)
- Multiple Factor Analysis of Contingence Tables (MFACT)
-
In some methods, it allowed to add supplementary informations such as supplementary individuals and/or variables.
-
It provides a geometrical point of view, a lot of graphical outputs.
-
It provides efficient implementations, using a scikit-learn API.
Those statistical methods can be used in two ways :
- as descriptive methods ("datamining approach")
- as reduction methods in scikit-learn pipelines ("machine learning approach")
scientisttools also performs clustering analysis
- Clustering analysis:
- Hierarchical Clustering on Principal Components (HCPC)
- Variables Hierarchical Clustering Analysis (VARHCA)
- Variables Hierarchical Clustering Analysis on Principal Components (VARHCPC)
- Categorical Variables Hierarchical Clustering Analysis (CATVARHCA)
Notebooks are availabled.
Installation
Dependencies
scientisttools requires
Python >=3.10
numpy >=1.26.4
matplotlib >=3.8.4
scikit-learn >=1.2.2
pandas >=2.2.2
polars >=0.19.2
mapply >=0.1.21
plotnine >=0.10.1
pingouin >=0.5.4
scientistmetrics >=0.0.4
User installation
You can install scientisttools using pip
:
pip install scientisttools
Tutorial are available
Author
Duvérier DJIFACK ZEBAZE (duverierdjifack@gmail.com)
Project details
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