Discrimination: Assigning Symbolic Objects to Classes
Kernel density estimation is a tool which allows the statistician to construct a density on any sample of data. Recent references on density estimation with a probabilistic background are numerous (e.g., books by Hand 1982, Silverman 1986, Devroye 1985). These methods compute a weighted sum of kernels centered on each data point.
KeywordsTerminal Node Dissimilarity Measure Symbolic Data Admissibility Condition Decisional Node
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