Regions with many nearby points keep subdividing. Regions with few or no points stay large. The tree adapts to the data: dense areas get fine-grained cells, sparse areas stay coarse. The split grid is predetermined (always at midpoints), but the tree only refines cells that need it. Sparse regions stay as single large nodes while dense regions subdivide deeply.
I really like this approach and find it reassuring about OSTree’s ability to manage service configurations without forcing us to never modify them.
，这一点在同城约会中也有详细论述
优点：输出范围在 (0,1)，可以表示概率
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06:20, 28 февраля 2026Мир
海南春节文旅热度飙升，星巴克区域门店实现高增长，详情可参考服务器推荐