Breathing KMeans vs KMeans

Breathing KMeans improves the standard KMeans clustering algorithm by adding and removing centroids based on error and utility metrics. This approach ensures better clustering results with reduced runtime overhead compared to multiple initializations of KMeans. The algorithm is implemented in the 'bkmeans' library with a sklearn-like API.