Shengcheng Liu1, Changming Zhu1, Zishi Li1

  • 1Information Engineering College, Shanghai Maritime University, Shanghai 201306, China.

PubMed
概括

本研究引入了一种新的深度学习方法,用于多视图聚类,平衡信息的一致性和多样性. 视图驱动的对比双重学习方法通过对齐特征和集群分配来提高集群性能.

相关概念视频

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Observational Learning

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Aggregates Classification01:29

Aggregates Classification

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Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

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Multiple Comparison Tests01:13

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Associative Learning01:27

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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.
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