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DBSCAN

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Density-based spatial clustering of applications with noise (DBSCAN). It is a clustering method that groups together data that are close to each other based on a distance metric and a minimum number of data points. Using the appropriate metric, can be applied to the coordinates of point reference data to perform a spatial clustering.

Table of Contents

DBSCAN

Density-based spatial clustering of applications with noise (DBSCAN). It is a clustering method that groups together data that are close to each other based on a distance metric and a minimum number of data points. Using the appropriate metric, can be applied to the coordinates of point reference data to perform a spatial clustering.

Related Terms

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Agglomerative Clustering
Spatial Indexes
Analytics Toolbox

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