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Integration and Evaluation of Different Kernel Density Estimates in Hierarchical Density-Based Clustering
DownloadFall 2016
Most machine learning methods make assumptions about data. Parametric statistics assume that the data is sampled from a distribution with fixed properties set by the algorithm or user. In contrast, non-parametric statistics do not assume the properties of a distribution. Instead, they assume that...
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