I am running k-means using sklearn but has been getting runtime warning. Can you please explain what's happening? I am a novice in sklearn, guidance much appreciated! Below is a sample code for reproducibility: import pandas as pd import numpy as np from sklearn.preprocessing import StandardScaler from sklearn.cluster import KMeans col1 = np.random.normal(loc=0, scale=1, size=1000) col2 = np.random.normal(loc=1, scale=1, size=1000) col3 = np.random.normal(loc=2, scale=4, size=1000) col4 = np.random.normal(loc=3, scale=3, size=1000) df = pd.DataFrame(list(zip(col1, col2, col3, col4))) kmeans = KMeans(n_clusters=2, init='k-means++', max_iter=300, random_state=0) kmeans.fit(df) The warnings are: miniconda3/lib/python3.13/site-packages/sklearn/utils/extmath.py:203: RuntimeWarning: divide by zero encountered in matmul ret = a @ b miniconda3/lib/python3.13/site-packages/sklearn/utils/extmath.py:203: RuntimeWarning: overflow encountered in matmul ret = a @ b miniconda3/lib/python3.13/site-packages/sklearn/utils/extmath.py:203: RuntimeWarning: invalid value encountered in matmul ret = a @ b miniconda3/lib/python3.13/site-packages/sklearn/cluster/_kmeans.py:237: RuntimeWarning: divide by zero encountered in matmul current_pot = closest_dist_sq @ sample_weight miniconda3/lib/python3.13/site-packages/sklearn/cluster/_kmeans.py:237: RuntimeWarning: overflow encountered in matmul current_pot = closest_dist_sq @ sample_weight miniconda3/lib/python3.13/site-packages/sklearn/cluster/_kmeans.py:237: RuntimeWarning: invalid value encountered in matmul current_pot = closest_dist_sq @ sample_weight Continue reading...
