Density-Based Spatial Clustering of Applications with Noise
Find clusters and outliers by using the DBSCAN algorithm
DBSCANuses a density-based approach to find arbitrarily shaped clusters and outliers (noise) in data. This technique is useful when you do not know the number of clusters in advance. Use thedbscan
函数对输入数据执行聚类trix or on pairwise distances between observations.
Functions
dbscan |
Density-based spatial clustering of applications with noise (DBSCAN) |
Topics
- DBSCAN
Group data into clusters and identify outliers by using a density-based approach.