In the context of the KMeans clustering algorithm in scikit-learn, what does the labels attribute represent?

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Visualizing the power of clustering in machine learning! Here, we see a high-dimensional dataset (represented by colored dots) clustered using the K-Means algorithm (centroids marked by stars). 📊Key Concepts: ➡️Unsupervised Learning: No predefined labels! Clustering identifies inherent groupings based on similarity measures (e.g., Euclidean distance). ➡️K-Means Clustering: A popular choice, it partitions data into a user-defined number of clusters (K). Here, K=3, resulting in three distinct clu

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