What is UMAP?
UMAP (Uniform Manifold Approximation and Projection) finds a low-dimensional map of high-dimensional data that preserves its structure. It works by learning which points are neighbors in the original space, then arranging them so neighbors stay close in the map. Use the controls below to see how each parameter shapes the result.
Method
?
Preprocessing
Parameters
Parameters
What is HDBSCAN?
HDBSCAN extends DBSCAN into a hierarchical clustering algorithm and extracts flat clusters based on their stability. It finds clusters of varying density without requiring you to specify the number of clusters in advance. Points that do not belong to any cluster are labeled noise (label −1).
View
?
Parameters