MDS.defaults

<p>A list with parameters customizing an MDS embedding.</p>

datasets

A self-guided, weakly supervised learning algorithm for feature extraction from noisy and
high-dimensional data. It facilitates the identification of patterns that reflect underlying group
structures across all samples in a dataset. The method incorporates a novel strategy to integrate
spatial information, improving the interpretability of results in spatially resolved data.

Stefano Cacciatore

KODAMA

Knowledge Discovery by Accuracy Maximization

Leonardo Tenori

MDS.defaults function

<p>An object of class <code>MDS.defaults</code> of length 1.</p>

MDS.defaults: Default configuration for RMDS

Description

Usage

Arguments

Format

Details

Examples