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Search Clustering , found 9 results

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Clustering Analysis Assistant

running-clustering-algorithms

jeremylongshore/claude-code-plugins-plus-skills

Automates clustering workflows on supplied datasets with K-means, DBSCAN, or hierarchical algorithms, handling preprocessing, validation, metrics, and visualizations to expose groupings and anomalies.

Sentence Transformers Embeddings

sentence-transformers

Orchestra-Research/AI-Research-SKILLs

High-quality Sentence Transformers framework that ships 5000+ pretrained models for multilingual, multimodal, and domain-specific embeddings; ideal for RAG, semantic search, clustering, and production vector stores without relying on external APIs.

Aeon Time Series Toolkit

K-Dense-AI/claude-scientific-skills

Aeon is a scikit-learn compatible toolkit for classification, regression, clustering, forecasting, anomaly detection, segmentation, similarity search, and feature engineering on temporal data.

Datamol Cheminformatics Toolkit

K-Dense-AI/claude-scientific-skills

Datamol wraps RDKit in a Pythonic API, delivering SMILES/SELFIES conversions, molecular sanitization, descriptors, fingerprints, 3D conformers, clustering, and cloud-friendly I/O for drug discovery workflows while keeping native rdkit.Chem.Mol compatibility.

Phylogenetic Tree Toolkit

K-Dense-AI/claude-scientific-skills

ETE Toolkit offers comprehensive phylogenetic tree manipulation, evolutionary event detection, taxonomy integration, and publication-grade visualization for phylogenomics workflows across research and clustering analyses.

Genomic Interval ML

K-Dense-AI/claude-scientific-skills

Geniml is a Python toolkit for applying machine learning to genomic interval data (BED/scATAC-seq), offering region and metadata embeddings, universe-building, and utilities for downstream similarity search, clustering, and evaluation.

Scanpy Single-Cell Pipeline

K-Dense-AI/claude-scientific-skills

Scanpy provides a scalable Python pipeline for single-cell RNA-seq, covering QC, normalization, dimensionality reduction, clustering, marker discovery, annotation, trajectory analysis, and publication-ready visualizations through AnnData.

UMAP Manifold Reduction

K-Dense-AI/claude-scientific-skills

UMAP-Learn delivers fast nonlinear dimensionality reduction for visualization, clustering prep, and feature engineering; it mirrors scikit-learn APIs and supports supervised/semi-supervised embeddings with tunable parameters.

Uncategorized Transaction Tidy

davepoon/buildwithclaude

Batch-categorize uncategorized transactions by clustering similar descriptions, researching unknown merchants, and creating rules or annotations so future payments auto-classify with minimal manual review.

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