Sonar

This dataset contains sonar signals bounced off a metal cylinder (mines) and a roughly cylindrical rock. The task is to classify whether the signal is from a mine or a rock based on the sonar signal patterns.

datasets

Enables the generation of Laplace factor models across diverse Laplace distributions and facilitates the application of Sparse Online Principal Component (SOPC), Incremental Principal Component (IPC), Perturbation Principal Component (PPC), Stochastic Approximation Principal Component (SAPC), Sparse Principal Component (SPC) and other PC methods and Farm Test methods to these models. Evaluates the efficacy of these methods within the context of Laplace factor models by scrutinizing parameter estimation accuracy, mean square error, and the degree of sparsity.

Guangbao Guo

Laplace Factor Model Analysis and Evaluation

Siqi Liu

Sonar function

A data frame with 208 rows and 61 columns representing different features of sonar signals.<ul>
<li><code>Attribute1</code>: Continuous feature representing energy within a frequency band.</li>
<li><code>Attribute2</code>: Continuous feature representing energy within a frequency band.</li>
<li><code>Attribute3</code>: Continuous feature representing energy within a frequency band.</li>
<li><code>...</code>: Additional continuous features (up to Attribute60).</li>
<li><code>Class</code>: Categorical target variable ('M' for mine, 'R' for rock).</li>
</ul>

Sonar: Sonar

Description

Usage

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Format

Examples