问题描述
我使用的这个函数估计二维核密度。我稍微用这个函数但是参数相混淆。
I am using this function to estimate kernel density in 2D. I am slightly confused by the parameters of this function however.
下面是一个例子,从正上方,其中密度正在计算在每个点(O)在图中被观看。即:在非常小的区域
Here is an example, viewed from directly above, where density is being calculated at each point (O) in the figure. i.e: over very small areas.
我想改变KDE功能参数,使得密度计算在较大的区域(例如,区域红圈)。哪些参数,我需要改变吗?我presume这是一个(或两个):
I want to change the KDE function parameters so that density is computed over a larger area (for example, the area circled in red). Which parameters do I need to change? I presume it is one (or both) of these:
N:在其密度计算的由N格(缺省为2 ^ 8)的尺寸
"n: size of the n by n grid over which the density is computed (default 2^8)"
或
MIN_XY,MAX_XY:边界框在其上密度计算的限制。默认限额计算如下:
"MIN_XY, MAX_XY: limits of the bounding box over which the density is computed". The default limits are computed as:
MAX = max(data,[],1);
MIN = min(data,[],1);
Range = MAX-MIN;
MAX_XY = MAX+Range/4;
MIN_XY = MIN-Range/4;
非常感谢。
推荐答案
我已经运行了该功能的一些测试,解决的办法是使用下 n值。这里是一系列的比较图中,使用相同的数据集。 n的值被显示在标题(所有其它参数保持不变):
I have run some tests with this function and the solution is to use lower values of n. Here is a series of comparison figures, using the same dataset. The value of n is shown in the title (all other parameters are kept constant):
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