tropea_clustering.plot.plot_medoids_uni

tropea_clustering.plot.plot_medoids_uni(title, input_data, labels, output_to_file=False)[source]

Compute and plot the average signal sequence inside each state.

Parameters:

  • title (str) – The path of the .png file the figure will be saved as.

  • input_data (ndarray of shape (n_particles * n_seq, delta_t)) – The input data array, in the format required by Onion Clustering.

  • labels (ndarray of shape (n_particles * n_seq,)) – The output of the clustering algorithm.

  • output_to_file (bool, default = False.) – If True, saves files with the cluster medoids.

Example

Here’s an example of the output:

Example Image

For each cluster, the average (solid line) and standard deviation (shaded area) of the signal sequences contained in it is shown. The unclassififed seqeunces are shown individually in purple.