Version 1.0

The first usable implementation including a sample dataset: the sEMG
data sampled from both health and neuro-impaired subjects(stroke
patients). 10 Features without PCA. The last column of the feature
matrix is the Brunnstrom Classification Label.

Class 'nodez' is required to store structured sample/observations. The
input dataset should be a M by N feature matrix which consists of M
observations/samples and N features. The dataset for import must contain
only 1 feature matrix to avoid confusion.