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Smile ⭐ 5,833

Statistical Machine Intelligence & Learning Engine

Manifold Learning ⭐ 31

Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

Hyperbolic Learning ⭐ 18

Implemented ML algorithms in hyperbolic geometry (MDS, K-Means, Support vector machines, etc.)

Comparison-based Machine Learning in Python

Snowcluster ⭐ 7

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Multidimensional scaling, and Multiple Factor Analysis.

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Python Multidimensional Scaling (5)

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Jupyter Notebook Multidimensional Scaling (3)

1-5 of 5 search results

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