- I updated the documentation
- I've added the CITATION file in the inst directory
- I've included the Affinity Propagation Clustering parameters in the spixel_segmentation method of the Image_Segmentation R6 class and especially the ap_maxits (maximum number of iterations), ap_convits (convits iterations), ap_dampfact (update equation damping level) and ap_nonoise (small amount of noise to prevent degenerate cases). Although the default parameter values work for the majority of Image Segmentation tasks, adjustments might be necessary for specific use cases.
- I've added the return_labels_2_dimensionsional parameter to the spixel_segmentation R6 Method, so that if TRUE then the 2-dimensional (matrix) superpixel labels will be returned
- I've added the spixel_clusters_show method to visualize the superpixel clusters in case the return_labels_2_dimensionsional parameter is set to TRUE
- I've added an error case if the kmeans_initializer parameter is not one of 'kmeans++', 'random', 'optimal_init' or 'quantile_init'
- The spixel_segmentation method allows also the user to return the kmeans clusters too (in case that the kmeans_method is set to "kmeans" or "mini_batch_kmeans")