【发布时间】:2021-09-14 16:38:09
【问题描述】:
我想使用欧几里得距离对轨迹进行聚类。但是,构成轨迹的点的数量不同。所以我需要用相同数量的点打破每个点并相应地计算它们。
例如,我有一个由一组 2D 点组成的轨迹(它们不在相同的区间内)。
[(0.0, 13.935130773499658),
(0.9206715658615288, 87.63458690840814),
(1.2245818835622884, 111.96041116227424),
(1.6280390619875555,144.22535883207814),
(2.4687774761711263, 211.49397181142362),
(2.8179447735365812, 239.4273556006593),
(3.2963389341232032, 239.4273556006593),
(4.527849090835078, 239.4273556006593),
(6.05237501176546, 969.4543366873916),
(6.05237501176546, 969.4543366873916),
(7.427758223451998, 969.4543366873916),
(9.628371362150414, 969.4543366873916),
(15.369101289189876, 3961.68816425364),
(17.234838515477744, 4861.421805491894),
(17.234838515477744, 4861.421805491894),
(18.400924281907635,4861.421805491894),
(18.628546140914224, 4879.631554212427),
(18.778532556213293, 4891.665691215202),
(18.912718114201468,4902.404931114517),
(19.051842229505283, 4913.539707867735),
(19.449597896390035, 4944.813545621106),
(19.841058908365085,4976.143225350869),
(20.13926859147929, 5000.0)]
它给出了如下散点图和折线图:
我想要做的是识别将整个轨迹分成相同长度的片段的点。例如,30 分。我该怎么做?谢谢。
【问题讨论】:
标签: python arrays cluster-analysis similarity polyline