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K-means++ Initialization
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Summary
K-means++ is a smart way to start the K-means clustering process, making sure the first guesses are spread out and not too close to each other. This helps the computer find better groups of similar things faster and with less work.
Concepts
Clustering
Machine Learning
Data Mining
Algorithm Initialization
Centroid Selection
Optimization
Pattern Recognition
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