mppy

The mppy is a multidimensional projection library that generates 2D representations of high dimensional data sets.

This code is part of my undergraduate final paper.

Student: Thiago Henrique Ferreira

Advisor: Tácito Trindade de Araújo Tiburtino Neves

Installation

Dependencies

The installation of mppy requires:

• Python (>=3.5)
• numpy (>=1.11.0)
• scipy (>=0.17.0)
• matplotlib (>=1.5.1)
• scikit-learn (>=0.17)

This project can be installed using pip

$ pip install mppy

Example

Here is an example of using the Force Scheme technique in the Iris dataset:

>>> import numpy as np, mppy
>>> data = np.loadtxt("datasets/iris.data", delimiter=",")
>>> clusters = data[:, data.shape[1]-1]
>>> matrix_2d = mppy.force_2d(data[:,0:3])
>>> mppy.simple_scatter_plot(matrix_2d,clusters)

Source code

You can check the latest sources with the command:

git clone https://github.com/thiagohenriquef/mppy.git

Techniques

• Force Scheme
• LAMP
• LSP
• PLMP
• Pekalska
• Sammon's Mapping

Contact

• "Thiago H. Ferreira" thiagohferreira10@gmail.com