通过本地和全球伪标签传播进行深度不完整的多视图集群
概括
本研究介绍了深度不完整多视图集群 (PLP-IMVC) 的伪标签传播,这是一种利用伪标签的新方法,以提高不完整数据的集群性能. 在基准数据集上,PLP-IMVC显著优于现有技术.
科学领域:
- 机器学习 机器学习
- 数据挖掘 数据挖掘
- 人工智能的人工智能
背景情况:
- 多视图集群 (MVC) 集成来自多个视角的数据,以提高性能.
- 不完整的多视图集群 (IMVC) 解决了缺少视图的实际数据场景.
- 深度学习方法越来越多地用于IMVC,因为它们具有表示式学习能力.
研究的目的:
- 提出一种新的深度IMVC方法,利用标签级指导.
- 通过整合来自完整数据子集的伪标签来提高聚类准确性.
- 开发一种强大的方法来处理噪音标签,并将信息跨视图融合在一起.
主要方法:
- 提出了一种新的深度IMVC方法,即深度IMVC的伪标签传播 (PLP-IMVC).
- 一个本地模型 (PLP-L) 最大限度地提高了伪标签的效用.
- 全球模型 (PLP-G) 采用多重规范化来减轻噪声和视图融合.
主要成果:
- 在八个基准数据集中,PLP-IMVC表现出卓越的性能.
- 该方法在聚类准确性方面表现优于18种先进的基线方法.
- 实验验证证了伪标签传播和深度标签传播网络的有效性.
结论:
- 拟议的PLP-IMVC方法有效地解决了不完整的多视图数据的挑战.
- 将伪标签与深度标签传播相结合,可以显著提高聚类结果.
- 在不完整的多视图集群领域,PLP-IMVC提供了一个有前途的进步.
相关概念视频
Cluster Sampling Method
11.9K
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...
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...
11.9K
Multicompartment Models: Overview
128
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,...
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
128
Multi-input and Multi-variable systems
106
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
In the absence...
106
Structural Classification of Joints
3.3K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
A fibrous joint is where the adjacent bones are united by fibrous connective...
3.3K
Aggregates Classification
317
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
317
Associative Learning
335
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
Classical conditioning, also known...
335


