[3D Point Cloud Data Processing] Chapter 8. Point Cloud Clustering

📌3D Point Cloud Data Processing ✅ 발표 내용: Point Cloud Clustering • Clustering • Distance metrics ◦ Euclidean, Manhattan, etc. • Parametric clustering ◦ K-means clustering • Nonparametric clustering ◦ DBSCAN, HDBSCAN 👨‍💻 발표자: 신동훈 / SOS LAB 📂 발표 자료: http://gofile.me/5zw4T/vK0LH6Yta 📋 커리큘럼: https://www.notion.so/3D-Point-Cloud-Data-Processing-d4cf96db80cc4329b00612dc98f6b81a?pvs=21