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相关概念视频

Bar Graph01:07

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A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
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Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

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Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
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Multiple Bar Graph01:07

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As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
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Ogive Graph01:07

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An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
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Time-Series Graph00:54

Time-Series Graph

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A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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pV-Diagrams01:18

pV-Diagrams

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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...
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用于属性图集群的辅助图.

Wang Li1, Siwei Wang1, Xifeng Guo2

  • 1School of Computer, National University of Defense Technology, Changsha 410000, China.

Entropy (Basel, Switzerland)
|July 8, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了辅助图形属性图形集群 (AGAGC) 技术,以改进图形集群. AGAGC通过结合非本地关系来增强节点表示,从而带来了优越的集群性能.

关键词:
属性图表 属性图表辅助图形是指辅助图形中的一个.聚类集群是指聚类的聚类.图形网络是指图形网络.

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科学领域:

  • 计算机科学 计算机科学
  • 数据挖掘 数据挖掘
  • 机器学习 机器学习

背景情况:

  • 属性图集群算法利用拓信息进行稳健的节点表示.
  • 现有的方法往往忽略了非直接链接的节点之间的关系,限制了聚类潜力.

研究的目的:

  • 引入属性图集群 (AGAGC) 技术的辅助图形.
  • 通过捕捉更广泛的节点关系来增强属性图集群.

主要方法:

  • 使用噪声过方法,基于节点属性构建辅助图.
  • 训练一个由原始和辅助图表监督的集群模型.
  • 合并多层嵌入式并使用自主监督的集群模块与三重损失.

主要成果:

  • 拟议的AGAGC模型与最先进的图形集群方法相比,显示出具有竞争力或优异的性能.
  • 在四个基准数据集上进行的实验验证了AGAGC技术的有效性.

结论:

  • 通过结合辅助图形信息,AGAGC有效地解决了现有的属性图形集群的局限性.
  • 该方法增强了代表性的歧视力和集群意识,以改善结果.