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When an object's velocity changes over time, the total distance traveled can be determined by summing small displacement intervals over short increments. This approach approximates the true distance through numerical summation and the use of integral calculus. An estimate of the total displacement can be obtained by measuring velocity at regular intervals and multiplying each value by the corresponding time step.If a runner accelerates over the first three seconds of a race, speed measurements...
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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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对于k-NN距离函数的摩尔斯理论

Yohai Reani1, Omer Bobrowski2

  • 1The Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering, Technion - Israel Institute of Technology, Haifa, Israel.

Discrete & computational geometry
|March 5, 2026
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概括
此摘要是机器生成的。

本研究引入了摩尔斯理论框架来分析点集中 k-th 最近邻距离的拓. 它提供了理解复杂数据结构中持久同质性的工具.

关键词:
应用拓学应用拓学距离函数的距离函数摩尔斯理论 摩尔斯理论k-最近的邻居

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科学领域:

  • 计算几何学的计算几何学
  • 拓学的拓学
  • 数据分析 数据分析

背景情况:

  • 第k近邻距离函数对于分析点集拓是至关重要的.
  • 了解子级集合拓对于数据分析和可视化至关重要.

研究的目的:

  • 开发一个摩尔斯理论框架来分析k-th近邻距离函数的拓.
  • 提供关键点的组合几何特征及其索引.
  • 计算随机点过程中预期的临界点数.

主要方法:

  • 莫尔斯理论应用于第k近邻距离函数.
  • 关键点的组合和几何分析和同类学.
  • 在Poisson点过程中预期的贝蒂数计算.

主要成果:

  • 使用莫尔斯理论分析子级集合拓学的框架.
  • 关键点及其索引的组合几何表征.
  • 详细的信息在关键级别的同质性变化.
  • 对于均的波桑过程,预期的临界点数的计算.

结论:

  • 开发的莫尔斯理论框架为持久同源性提供了重要的见解.
  • 结果为分析k顺序的Delaunay马赛克和随机的k折覆盖提供了有价值的工具.
  • 这项工作将拓数据分析与几何和概率方法相结合.