AWS Open Source Blog
Author: Charles Frenzel
Charles is a Senior Data Scientist for Professional Services based in Tokyo, Japan. He works directly with AWS customers to build machine learning models for production. In his spare time he enjoys biking with his children, kettlebell training, and drinking matcha tea.
Introducing DenseClus, an open source clustering package for mixed-type data
Today we announce the alpha release of DenseClus, an open source package for clustering high-dimensional, mixed-type data. DenseClus uses the uniform manifold approximation and projection (UMAP) and hierarchical density based clustering (HDBSCAN) algorithms to arrive at a clustering solution for both categorical and numerical data. With DenseClus, you provide a dataframe, and it will then […]