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Using Permutation Tests to Study How the Dimensionality, the Number of Classes, and the Number of Samples Affect Classification Analysis

AuthID
P-005-K14

Author(s)

Al Rawi, MS

Cunha, JPS

Editor(s)

Campilho, A; Kamel, M

Document Type

Proceedings Paper

Year published

2012

Published

in IMAGE ANALYSIS AND RECOGNITION, PT I in Lecture Notes in Computer Science, ISSN: 0302-9743

Volume: 7324, Issue: PART 1, Pages: 34-42 (9)

Conference

9Th International Conference on Image Analysis and Recognition (Iciar), Date: JUN 25-27, 2012, Location: Aveiro, PORTUGAL, Sponsors: Assoc Image & Machine Intelligence (AIMI)

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Publication Identifiers

DOI: 10.1007/978-3-642-31295-3_5

Scopus: 2-s2.0-84864143982

Wos: WOS:000323558000005

Source Identifiers

ISSN: 0302-9743

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Using Permutation Tests to Study How the Dimensionality, the Number of Classes, and the Number of Samples Affect Classification Analysis

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Using Permutation Tests to Study How the Dimensionality, the Number of Classes, and the Number of Samples Affect Classification Analysis

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