felipeangelimvieira / SharedNearestNeighborsLinks
A Shared Nearest Neighbors clustering implementation. This code is basically a wrapper of sklearn DBSCAN, implementing the neighborhood similarity as a metric.
☆16Updated 3 years ago
Alternatives and similar repositories for SharedNearestNeighbors
Users that are interested in SharedNearestNeighbors are comparing it to the libraries listed below
Sorting:
- Shared Nearest Neighbor Clustering Algorithm: Implementation and Evaluation☆32Updated 5 years ago
- Code repository for the paper "Towards a Comprehensive Evaluation of Dimension Reduction Methods for Data Visualization"☆14Updated last year
- Explaining dimensionality results using SHAP values☆55Updated 11 months ago
- Contrastive neighbor embeddings☆57Updated last month
- Tools for building and manipulating graphs in Python☆46Updated last week
- ☆24Updated 4 years ago
- Mixture of Gaussian Processes Model for Sparse Longitudinal Data☆38Updated 3 years ago
- Differential Robust PCA☆13Updated 3 years ago
- Hierarchical graph clustering☆38Updated 7 years ago
- ☆11Updated 7 months ago
- Latent optimal transport (LOT) for low rank transport and clustering☆20Updated 4 years ago
- ☆61Updated 11 months ago
- Python package for multi-view machine learning☆215Updated 2 years ago
- TARDIS: Topological Algorithms for Robust DIscovery of Singularities☆44Updated 2 years ago
- Initialization is critical for preserving global data structure in both t-SNE and UMAP☆24Updated 4 years ago
- Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…☆20Updated 2 years ago
- Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …☆23Updated 4 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Updated 5 years ago
- Unsupervised visualization of image datasets using contrastive learning☆115Updated 7 months ago
- TorchDR - PyTorch Dimensionality Reduction☆178Updated last month
- A probabilistic model to cluster survival data in a variational deep clustering setting☆30Updated 3 years ago
- Graph regularized nonnegative matrix factorization (GNMF) in Python☆46Updated 5 years ago
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆26Updated 7 months ago
- ☆33Updated 7 months ago
- ☆17Updated 5 years ago
- A fast hierarchical dimensionality reduction algorithm.☆71Updated last month
- Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".☆28Updated 4 years ago
- Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals☆13Updated 4 years ago
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 4 years ago
- A spectral method for assessing and combining multiple data visualizations☆50Updated 2 years ago