Arbeitspapier

Projection pursuit for exploratory supervised classification

In high-dimensional data, one often seeks a few interesting low-dimensional projections that reveal important features of the data. Projection pursuit is a procedure for searching high-dimensional data for interesting low-dimensional projections via the optimization of a criterion function called the projection pursuit index. Very few projection pursuit indices incorporate class or group information in the calculation. Hence, they cannot be adequately applied in supervised classification problems to provide low-dimensional projections revealing class differences in the data. We introduce new indices derived from linear discriminant analysis that can be used for exploratory supervised classification.

Language: Englisch

Bibliographic citation: Series: SFB 649 Discussion Paper ; No. 2005,026

Classification: Wirtschaft

Subject: Data mining
Exploratory multivariate data analysis
Gene expression data
Discriminant analysis

Event: Geistige Schöpfung

(who): Lee, Eun-Kyung
Cook, Dianne
Klinke, Sigbert
Lumley, Thomas

Event: Veröffentlichung

(who): Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk

(where): Berlin

(when): 2005

Handle: http://hdl.handle.net/10419/25045

Last update: 10.03.2025, 11:42 AM CET

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Object type

Arbeitspapier

Associated

Lee, Eun-Kyung
Cook, Dianne
Klinke, Sigbert
Lumley, Thomas
Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk

Time of origin

2005

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Projection pursuit for exploratory supervised classification

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Other Objects (12)

Projection Pursuit for Exploratory Supervised Classification

Projection Pursuit Regression and Neural Network

Projection pursuit regression and neural networks

Semi-supervised learning for image classification

Relational semi-supervised classification using multiple relations

Partially supervised learning of fuzzy classification rules

Semi-supervised learning helps in sound event classification

Supervised machine learning aided behavior classification in pigeons

Exploiting SAR Tomography for Supervised Land-Cover Classification

An exploratory research on European ATM Network resilience through supervised learning

Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification

A multivariate approach for onset detection using supervised classification

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Projection Pursuit Regression and Neural Network

Projection pursuit regression and neural networks

Semi-supervised learning for image classification

Relational semi-supervised classification using multiple relations

Partially supervised learning of fuzzy classification rules

Semi-supervised learning helps in sound event classification

Supervised machine learning aided behavior classification in pigeons

Exploiting SAR Tomography for Supervised Land-Cover Classification

An exploratory research on European ATM Network resilience through supervised learning

Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification

A multivariate approach for onset detection using supervised classification

Projection Pursuit for Exploratory Supervised Classification

Projection Pursuit Regression and Neural Network

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Relational semi-supervised classification using multiple relations

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