SemanticScuttle - klotz.me

klotz: dimensionality reduction* + umap*

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1. A Visual Exploration of Semantic Text Chunking

   The article explains semantic text chunking, a technique for automatically grouping similar pieces of text to be used in pre-processing stages for Retrieval Augmented Generation (RAG) or similar applications. It uses visualizations to understand the chunking process and explores extensions involving clustering and LLM-powered labeling.

   2024-09-21 Tags: text, chunking, nlp, rag, dimensionality reduction, hierarchical clustering, umap, summarization, llm by klotz
2. How Exactly UMAP Works - Towards Data Science

   2019-10-04 Tags: umap, tsne, dimensionality reduction by klotz
3. Dimensionality reduction for visualizing single-cell data using UMAP | Nature Biotechnology

   2019-03-18 Tags: dimensionality reduction, umap, biology, machine learning by klotz
4. A machine learning approach helps sort and label cell clusters in multiple dimensions

   2019-03-18 Tags: umap, dimensionality reduction, machine learning, deep learning by klotz
5. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction — umap 0.3 documentation

   2018-10-09 Tags: python, umap, dimensionality reduction, machine learning, documentation by klotz
6. GitHub - lmcinnes/umap: Uniform Manifold Approximation and Projection

   Alternative to t-SNE and PCA

   2018-10-09 Tags: umap, visualization, dimensionality reduction, python, embedding, machine learning, t-sne, pca by klotz
7. Evaluation of UMAP as an alternative to t-SNE for single-cell data | bioRxiv

   2018-10-05 Tags: umap, t-sne, dimensionality reduction by klotz

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