tagclouds或tagCloud逻辑的最佳实践? [英] best practice with tagclouds or tagCloud logic?

问题描述

您想出了什么好的标签云逻辑?就像fontsize = factor * OperationOfOccurance ....

what are some good tag Cloud logic that you had come up with? like fontsize = factor * percentageOfOccurance ....

推荐答案

您需要设置一个最小大小，例如fontsize = minsize + factor * percentage.

You'll need to set a minimum size, so maybe fontsize = minsize + factor * percentage.

您可能希望限制大小范围；也许取平方的平方或对数，但这取决于您的分布.

You may want to limit the range of sizes; perhaps take the sqrt or log of percentage, but this depends on your distribution.

有关另一种技术，请在标签云算法:

For another technique, have a look at this blog post from poeticcode on Tag Clouds Algorithms:

接下来，在线性插值中，如何设置字体大小/颜色强度的最小和最大边界?我注意到，例如Amazon.com的字体大小介于80％和280％之间.因此，云中最低的标签将获得80％的字体大小，而最高的标签将获得280％的字体大小.我决定采用以下公式

Next, in the linear interpolation, how do we set the min and max boundaries for the font size/color intensity? I notice that Amazon.com for example, is ranging it’s font sizes between 80% and 280%. So, the lowest tag in the cloud would get a font size of 80% and the highest tag 280%. I have decided to go with the following formula

150 *(1.0+(1.5 * m-maxm/2)/maxm)

150*(1.0+(1.5*m-maxm/2)/maxm)

当度量从潜在的0变为最大值时，这可以很好地使字体大小从75％变为300％.

This nicely gives a font size from 75% to 300% as the metric changes from a potential 0 to maxm.

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