Multiresolution Estimates of Classification Complexity
نویسنده
چکیده
In this paper, we study two measures of classification complexity based on feature space partitioning: “purity” and “neighborhood separability.” The new measures of complexity are compared with probabilistic distance measures and a number of other nonparametric estimates of classification complexity on a total of 10 databases from the University of Calfornia, Irvine, (UCI)
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ورودعنوان ژورنال:
- IEEE Trans. Pattern Anal. Mach. Intell.
دوره 25 شماره
صفحات -
تاریخ انتشار 2003