相关实验视频

Updated: May 9, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

14.7K

使用模糊的C-Means聚类来确定微震记录的首次到来

Xiangyun Zhao1, Haihang Chen2, Binhong Li1

  • 1Key Laboratory of Earth Exploration and Information Technology, Ministry of Education, Chengdu University of Technology, Chengdu 610059, China.

Sensors (Basel, Switzerland)
|March 13, 2024
PubMed
概括

这项研究引入了一个模糊的c-means集群方法,用于微地震监测中准确的首次到达采集. 该方法有效地将有用的地震波形与噪声区分开来,提高了采集精度和可靠性.

关键词:
第一个到达的挑选.模糊的c-意味着集群的聚类.机器学习是机器学习.微地震数据 微地震数据

更多相关视频

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.3K
A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'10:31

A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

Published on: February 10, 2017

11.1K

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...