Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Cluster Sampling Method01:20

Cluster Sampling Method

11.8K
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...
11.8K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

115
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
115
Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

2.3K
The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
2.3K
pV-Diagrams01:18

pV-Diagrams

4.0K
The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
4.0K
¹H NMR: Complex Splitting01:13

¹H NMR: Complex Splitting

1.3K
A proton M that is coupled to a proton X results in doublet signals for M. However, NMR-active nuclei can be simultaneously coupled to more than one nonequivalent nucleus. When M is coupled to a second proton A, such as in styrene oxide, each peak in the doublet is split into another doublet.
Splitting diagrams or splitting tree diagrams are routinely used to depict such complex couplings. While drawing splitting diagrams, the splitting with the larger coupling constant is usually applied...
1.3K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

64
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
64

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

CD2AP is a potential prognostic biomarker of renal clear cell carcinoma.

Cancer medicine·2024
Same author

Influence of Aging on Outcomes of Sacubitril/Valsartan in Hypertensive Patients with Heart Failure: A Multicenter Retrospective Study.

Anatolian journal of cardiology·2024
Same author

Abnormal Lower Limb Biomechanics During a Bilateral Vertical Jump Despite the Symmetry in Single-Leg Vertical Hop Height in Athletes After ACL Reconstruction.

Orthopaedic journal of sports medicine·2024
Same author

Allo-HSCT with TBI-based preconditioning for hepatosplenic T-cell lymphoma: two case reports and systematic review of literature.

Frontiers in oncology·2024
Same author

GPX4 is a potential diagnostic and therapeutic biomarker associated with diffuse large B lymphoma cell proliferation and B cell immune infiltration.

Heliyon·2024
Same author

[Correlation between methylation of interferon regulatory factor 6 gene promoter in renal tissues and overall survival of patients with Kidney renal clear cell carcinoma].

Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics·2024

相关实验视频

Updated: Jun 16, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

6.9K

SPGMVC:通过分割签名原型图形进行多视图集群.

Geping Yang, Shusen Yang, Yiyang Yang

    IEEE transactions on neural networks and learning systems
    |August 15, 2024
    PubMed
    概括

    这项研究引入了多视图集群 (MVC) 的新框架,可以有效处理大型数据集. 拟议的方法,SPGMVC,通过分割签名的原型图表来提高集群精度,并为增强的可用性提供自动参数选择.

    科学领域:

    • 机器学习 机器学习
    • 数据挖掘 数据挖掘
    • 计算机视觉 计算机视觉

    背景情况:

    • 多视图集群 (MVC) 利用多个数据视角来提高性能.
    • 现有的MVC方法面临着大规模数据集的计算挑战.
    • 当前的二进制MVC (BMVC) 方法忽略了几何信息,影响了集群准确性.

    研究的目的:

    • 为大规模的多视图集群开发一个高效和准确的框架.
    • 解决现有的BMVC方法的局限性,特别是关于几何信息和参数选择.
    • 引入一个统一的框架,整合共识二进制编码,代码压缩和签名原型图表分区.

    主要方法:

    • 提出了签名原型图形多视图集群 (SPGMVC) 框架.
    • 集成共识二进制编码和代码压缩 (CC) 以减少维度和提高效率.
    • 利用基于边缘关系的签名图 (SG) 分区和优化交替最小化策略.
    • 开发了一个自动参数选择策略,以简化模型调整.

    主要成果:

    • 通过签名图表分区,SPGMVC有效地捕捉了基础数据结构,提高了集群精度 (ACC).
    • 代码压缩 (CC) 减少了图形尺度,提高了大型数据集的计算效率.

    更多相关视频

    Spatial Separation of Molecular Conformers and Clusters
    10:37

    Spatial Separation of Molecular Conformers and Clusters

    Published on: January 9, 2014

    8.9K
    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

    相关实验视频

    Last Updated: Jun 16, 2025

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
    12:27

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

    Published on: February 15, 2017

    6.9K
    Spatial Separation of Molecular Conformers and Clusters
    10:37

    Spatial Separation of Molecular Conformers and Clusters

    Published on: January 9, 2014

    8.9K
    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
  • 交替最小化策略实现了近乎线性的时间和空间复杂性,适合大规模任务.
  • 自动参数选择消除了手动调节的需要,简化了这个过程.
  • 结论:

    • SPGMVC为大规模的多视图集群提供了统一,高效和准确的解决方案.
    • 该方法通过结合几何信息和简化参数选择,克服了以前BMVC方法的局限性.
    • 在全面的实验中,SPGMVC表现出卓越的性能,在现场提供了实际的进步.