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Open3d European clustering
2022-07-05 11:44:00 【dayuhaitang_ galaxy】
List of articles
One 、 brief introduction
Euclidean clustering is a classical clustering method , Its principle and DBSCAN Somewhat similar , It also belongs to a clustering method based on density and distance , The algorithm process is relatively simple , There are mainly the following steps :
(1) From any point ( Seed point ) set out , Search for adjacent points around it , Then it is considered that these points should belong to the same category , And mark these points by category .
(2) Use adjacent points as new seed points , repeat (1) The process in , Until the adjacent point cannot be searched , Then the points found at this time are considered to be a kind of .
(3) Find the next unmarked point , repeat (1)(2) The process of , Until all points are marked by the search , Then the algorithm ends .
because Open3D European clustering not found in "_", Therefore, it is specially implemented here for subsequent use .
Two 、 Implementation code
#define
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