Research Article
AOMC: An Adaptive Point Cloud Clustering Approach for Feature Extraction
Algorithm 1
AOMC: adaptive optimal means clustering for point cloud feature extraction.
| Input: Point cloud model | | Output: Clustering results | (1) | | (2) | for 1 to k do | (3) | Compute | (4) | Generate a value | (5) | if | (6) | | (7) | end if | (8) | end for | (9) | Initialize SSE for | (10) | for SSE > threshold do | (11) | , | (12) | Update to the sample centers | (13) | Update | (14) | Update SSE | (15) | end for | (16) | return |
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