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相关概念视频

Ogive Graph01:07

Ogive Graph

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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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Scaling01:26

Scaling

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In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
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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.
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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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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.
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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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Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
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可扩展的超图形可视化.

Peter Oliver, Eugene Zhang, Yue Zhang

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    本研究引入了超图可视化的新框架,通过代运算简化复杂的数据集. 该方法优化了大型网络的布局,减少了自我交叉点,并提高了网络数据分析的清晰度.

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    科学领域:

    • 计算机科学 计算机科学
    • 数据可视化 数据可视化
    • 网络分析 网络分析

    背景情况:

    • 超图形可视化对于网络数据分析至关重要.
    • 基于多边形的超图表征提供了好处,但由于自我交叉,大数据集面临着挑战.
    • 现有的方法在复杂超图的可扩展性和布局优化方面扎.

    研究的目的:

    • 为改善超图形可视化提出一种新的框架.
    • 为了解决大型数据集的多边形基础超图布局中过度自我交叉的问题.
    • 开发一种代简化和布局优化方法,以实现增强的超图形表示.

    主要方法:

    • 使用原子运算的超图的代简化.
    • 优化了对简化超图的布局.
    • 反向过程以改进的布局重建原始超图.
    • 在多边形表示中介绍超图平面性定义和条件.

    主要成果:

    • 一个用于代超图简化和布局优化的框架.
    • 使用操作优先级措施指导简化的一种方法.
    • 在真实世界的应用数据集上证明了该方法的有用性.
    • 扩展以处理超图及其双元图的同时简化和布局优化.

    结论:

    • 拟议的框架有效地减少了基于多边形的超图布局中的自我交叉点.
    • 代简化和优化方法提高了超图可视化的清晰度和可扩展性.
    • 该方法为分析复杂的网络数据提供了强大的解决方案.