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当R足够小时,可将区域R内的概率密度视为一个不变量。
而K近邻方法是设置一种可变宽度的区域, 并使得落入每个区域中样本数量为固定的K. 这样就不能保证区域R是足够小的,从而导致其在整个空间上的积分不等于1。
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习题9-5 举例说明, K近邻方法估计的密度函数不是严格的概率密度函数, 其在整个空间上的积分不等于1
解答:
当R足够小时,可将区域R内的概率密度视为一个不变量。
而K近邻方法是设置一种可变宽度的区域, 并使得落入每个区域中样本数量为固定的K. 这样就不能保证区域R是足够小的,从而导致其在整个空间上的积分不等于1。
The text was updated successfully, but these errors were encountered: