What is K-Means Clustering?
An example of an AI chatbot conversation about K-Means Clustering in data science.
Can you explain what K-Means Clustering is?
Sure! K-Means Clustering is a popular algorithm used in data science to partition data into distinct groups.
How does the K-Means algorithm work?
It works by initializing 'k' centroids, assigning data points to the nearest centroid, and then updating the centroids based on the assigned points.
What are some applications of K-Means Clustering?
It's used in various fields like market segmentation, image compression, and pattern recognition.
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