[] Clustering algorithm principle of DBSCAN - Code World

[] Clustering algorithm principle of DBSCAN

Others 2020-03-11 13:32:11 views: null

Density-based clustering algorithm: DBSCAN

It requires two parameters are predefined: "radius of influence" and "Threshold Effect"
Advantages are: kmeans not like the previously determined as the value of k, accommodate nonconventional data, can be used to find outliers (outliers)
The disadvantages are: two parameters still need to be determined in advance
The key to understanding: the development of similar MLM downline or tribal expansion
Schematic:
DBSCAN visual display

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Origin blog.csdn.net/weixin_44680262/article/details/104702236

[] Clustering algorithm principle of DBSCAN

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