#dimensionality-reduction

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fromRubyflow
13 hours ago
Software development

ClusterKit: High-performance UMAP and clustering for Ruby

ClusterKit enables fast, native Rust-powered dimensionality reduction and clustering in Ruby, supporting UMAP, PCA, K-means, HDBSCAN, reproducible seeds, and Numo::NArray.
Data science
fromHackernoon
3 months ago

Supercharge ML: Your Guide to GPU-Accelerated cuML and XGBoost | HackerNoon

GPU acceleration can greatly enhance traditional machine learning workflows
Focus on cuML, XGBoost, and dimensionality reduction techniques for efficient data processing
fromHackernoon
3 months ago

Amortized BGPLVM: Improved Dimensionality Reduction for scRNA-seq | HackerNoon

The study proposes an improved model for single-cell data that aligns generative models with specific challenges, resulting in significant performance improvements.
fromHackernoon
3 months ago

Scalable & Interpretable Dimensionality Reduction for scRNA-seq | HackerNoon

Current scalable Gaussian Process Latent Variable Models (GPLVMs) are not effective for clustering cell types, prompting the introduction of the improved BGPLVM model designed specifically for single-cell RNA-seq analysis.
Scala
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