@inproceedings{0ad1f9a80b734491b64b5a6a7b431745,
title = "Discrimination: Assigning Symbolic Objects to Classes",
abstract = "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.",
author = "Jean-Paul Rasson and Sandrine Lissoir",
year = "2000",
language = "English",
isbn = "978-3-540-66619-6",
series = "Studies in Classification, Data Analysis, and Knowledge Organization",
publisher = "Springer",
pages = "234--244",
editor = "Hans-Hermann Bock and Edwin Diday",
booktitle = "Analysis of Symbolic Data",
address = "United States",
}