Discrimination: Assigning Symbolic Objects to Classes

Jean-Paul Rasson; Sandrine Lissoir

Discrimination: Assigning Symbolic Objects to Classes

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Analysis of Symbolic Data
Subtitle of host publication	Exploratory Methods for Extracting Statistical Information from Complex Data
Editors	Hans-Hermann Bock, Edwin Diday
Place of Publication	Berlin
Publisher	Springer
Pages	234-244
Number of pages	11
ISBN (Electronic)	978-3-642-57155-8
ISBN (Print)	978-3-540-66619-6
Publication status	Published - 2000

Publication series

Name	Studies in Classification, Data Analysis, and Knowledge Organization
Publisher	Springer
ISSN (Print)	1431-8814
ISSN (Electronic)	2198-3321

Cite this

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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",

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editor = "Hans-Hermann Bock and Edwin Diday",

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Discrimination: Assigning Symbolic Objects to Classes. / Rasson, Jean-Paul; Lissoir, Sandrine.
Analysis of Symbolic Data : Exploratory Methods for Extracting Statistical Information from Complex Data. ed. / Hans-Hermann Bock; Edwin Diday. Berlin: Springer, 2000. p. 234-244 (Studies in Classification, Data Analysis, and Knowledge Organization).

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Discrimination

T2 - Assigning Symbolic Objects to Classes

AU - Rasson, Jean-Paul

AU - Lissoir, Sandrine

PY - 2000

Y1 - 2000

N2 - 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.

AB - 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.

M3 - Conference contribution

SN - 978-3-540-66619-6

T3 - Studies in Classification, Data Analysis, and Knowledge Organization

SP - 234

EP - 244

BT - Analysis of Symbolic Data

A2 - Bock, Hans-Hermann

A2 - Diday, Edwin

PB - Springer

CY - Berlin

ER -

Discrimination: Assigning Symbolic Objects to Classes

Abstract

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