The R*-tree: an efficient and robust access method for points and rectangles
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
OBBTree: a hierarchical structure for rapid interference detection
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Efficiently approximating the minimum-volume bounding box of a point set in three dimensions
Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms
The R+-Tree: A Dynamic Index for Multi-Dimensional Objects
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
High-dimensional indexing with oriented cluster representation for multimedia databases
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
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Principal component analysis (PCA) is commonly used to compute a bounding box of a point set in Rd. The popularity of this heuristic lies in its speed, easy implementation and in the fact that usually, PCA bounding boxes quite well approximate the minimum-volume bounding boxes.Since there are examples of discrete points sets in the plane, showing that the worst case ratio of the volume ofthe PCA bounding box and the volume of the minimum-volume bounding box tends to infinity,we consider PCA bounding boxes for continuous sets, especially for the convex hull of a point set. Here, we contributenew upper bounds on the approximation factor of PCA bounding boxesof convex sets in R2 and R3.