Transform a corpus of text documents (any kind) into a map with different zoom levels and topics names to summarise sub corpus of similar docs.
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Updated
Jan 1, 2024 - HTML
Transform a corpus of text documents (any kind) into a map with different zoom levels and topics names to summarise sub corpus of similar docs.
Visually explore a game of semantle using a UMAP representation of the underlying word2vec word embedding.
Joint UMAP embedding and clustering of proteomic and transcriptomic data
Identified distinct clusters and driving forces for climate related discussions on Reddit
Customer Segmentation with K-Means & UMAP
Topic modelling of invoice data
En este repositorio se encuentra el Trabajo de Fin de Máster de la Titulación Máster en Ciencia de Datos por la Universitat Oberta de Catalunya.
Add a description, image, and links to the umap topic page so that developers can more easily learn about it.
To associate your repository with the umap topic, visit your repo's landing page and select "manage topics."