ionosphere

This dataset contains radar returns from the ionosphere, collected by a system in Goose Bay, Labrador. The dataset is used for classifying radar returns as 'good' or 'bad' based on the presence of structure in the ionosphere.

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

ionosphere function

A data frame with multiple rows and 35 columns representing different features related to radar returns.<ul>
<li><code>Attribute1</code>: Continuous feature.</li>
<li><code>Attribute2</code>: Continuous feature.</li>
<li><code>Attribute3</code>: Continuous feature.</li>
<li><code>Attribute4</code>: Continuous feature.</li>
<li><code>Attribute5</code>: Continuous feature.</li>
<li><code>Attribute6</code>: Continuous feature.</li>
<li><code>Attribute7</code>: Continuous feature.</li>
<li><code>Attribute8</code>: Continuous feature.</li>
<li><code>Attribute9</code>: Continuous feature.</li>
<li><code>Attribute10</code>: Continuous feature.</li>
<li><code>...</code>: Additional continuous features (up to Attribute34).</li>
<li><code>Class</code>: Binary classification target ('good' or 'bad').</li>
</ul>

ionosphere: ionosphere Data

Description

Usage

Arguments

Format

Examples