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Search results for unsupervised learning dimensionality reduction

dimensionality-reduction x

unsupervised-learning x

19 search results found

Awesome Community Detection ⭐ 2,232

A curated list of community detection research papers with implementations.

Minisom ⭐ 1,339

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Go Tsne ⭐ 169

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

A JavaScript Library for Dimensionality Reduction

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

Boostedfactorization ⭐ 31

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

ADENINE: A Data ExploratioN PipelINE

Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning

Optimal Projections for Clustering

Unsupervised Learning In R ⭐ 12

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

Nystrompca ⭐ 11

Efficient non-linear PCA through kernel PCA with the Nyström method

Country Profiling Using Pca And Clustering ⭐ 9

Unsupervised Machine Learning Analysis Using Clustering Model

Unsupervised_analysis ⭐ 9

A general purpose Snakemake workflow to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.

Coranking ⭐ 8

Co-Ranking matrix and derived methods to assess the quality of dimensionality reductions

An open-source tool for performing feature selection process in different areas of research

Embedding with the Heat-geodesic dissimilarity

Neuralmap ⭐ 5

NeuralMap is a data analysis tool based on Self-Organizing Maps

1-19 of 19 search results

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