Thursday, March 11, 2021 at 7:00:00 PM Online event

Data scientists use clustering algorithms like k-means and HDBSCAN to discover groups of related items. Graph databases provide tools to analyze relationships. Walking through a clustering algorithm with graph database tools sheds new light on unsupervised machine learning.

In this session we'll do a deep dive into the density-based clustering algorithm HDBSCAN. You'll come away with a better understanding of how HDBSCAN works and see hands-on examples with Neo4j's Cypher query language, Graph Data Science library, APOC library, and Bloom data visualization tool. Click here for event

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