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Updated: Jan 16, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Published on: February 15, 2017

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一种雷电集群识别方法,考虑多尺度的时空空间邻里关系

Manxing Shi1, Peng Fan2, Hantao Tao3

  • 1School of Geographic Sciences, Xinyang Normal University, Xinyang, China.

PloS one
|October 3, 2025
PubMed
概括

一个新的框架,CC3D-CSCAP,增强了从庞大的数据集中识别闪电集群. 这种方法通过准确跟踪闪电活动来改善雷暴预测和气候分析.

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相关概念视频

Cluster Sampling Method01:20

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
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