DenseBlocks is an unsupervised classification method for n-dimensional numerical data. It creates a multi-dimensional density representation of given training samples, defines clusters accordingly and returns this representation which can further be used to classify related data.
Follow DenseBlocks
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of DenseBlocks!