A novel neural network technique for exploratory data analysis

David Lowe; Michael E Tipping

A novel neural network technique for exploratory data analysis

David Lowe
, Michael E Tipping

Research output: Chapter in Book/Published conference output › Chapter

Abstract

This paper surveys the context of feature extraction by neural network approaches, and compares and contrasts their behaviour as prospective data visualisation tools in a real world problem. We also introduce and discuss a hybrid approach which allows us to control the degree of discriminatory and topographic information in the extracted feature space.

Original language	English
Title of host publication	Proceedings of International Conference on Artificial Neural Networks '95
Place of Publication	Paris
Publisher	EC2 et Cie
Pages	339-344
Number of pages	6
Volume	1
ISBN (Print)	2-910085-19-8
Publication status	Published - 1995
Event	Proceedings of ICANN '95 (Scientific Conference) - Paris, France Duration: 1 Jan 1995 → 1 Jan 1995

Conference

Conference	Proceedings of ICANN '95 (Scientific Conference)
Country/Territory	France
City	Paris
Period	1/01/95 → 1/01/95

Keywords

neural network approaches
data visualisation tools
discriminatory and topographic information

Cite this

@inbook{b1c847f07adc4b6d9e880b18c72f30a9,

title = "A novel neural network technique for exploratory data analysis",

abstract = "This paper surveys the context of feature extraction by neural network approaches, and compares and contrasts their behaviour as prospective data visualisation tools in a real world problem. We also introduce and discuss a hybrid approach which allows us to control the degree of discriminatory and topographic information in the extracted feature space.",

keywords = "neural network approaches, data visualisation tools, discriminatory and topographic information",

author = "David Lowe and Tipping, \{Michael E\}",

year = "1995",

language = "English",

isbn = "2-910085-19-8",

volume = "1",

pages = "339--344",

booktitle = "Proceedings of International Conference on Artificial Neural Networks '95",

publisher = "EC2 et Cie",

note = "Proceedings of ICANN '95 (Scientific Conference) ; Conference date: 01-01-1995 Through 01-01-1995",

}

TY - CHAP

T1 - A novel neural network technique for exploratory data analysis

AU - Lowe, David

AU - Tipping, Michael E

PY - 1995

Y1 - 1995

N2 - This paper surveys the context of feature extraction by neural network approaches, and compares and contrasts their behaviour as prospective data visualisation tools in a real world problem. We also introduce and discuss a hybrid approach which allows us to control the degree of discriminatory and topographic information in the extracted feature space.

AB - This paper surveys the context of feature extraction by neural network approaches, and compares and contrasts their behaviour as prospective data visualisation tools in a real world problem. We also introduce and discuss a hybrid approach which allows us to control the degree of discriminatory and topographic information in the extracted feature space.

KW - neural network approaches

KW - data visualisation tools

KW - discriminatory and topographic information

M3 - Chapter

SN - 2-910085-19-8

VL - 1

SP - 339

EP - 344

BT - Proceedings of International Conference on Artificial Neural Networks '95

PB - EC2 et Cie

CY - Paris

T2 - Proceedings of ICANN '95 (Scientific Conference)

Y2 - 1 January 1995 through 1 January 1995

ER -

A novel neural network technique for exploratory data analysis

Abstract

Conference

Keywords

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Cite this