Which of the following is a common application of K-Means clustering?Answer areaImage compressionPredicting stock pricesSpam filteringSentiment analysis
Question
Solution 1
Image compression is a common application of K-Means clustering. This algorithm is often used in image processing for color quantization, which reduces the number of distinct colors used in an image, thereby reducing the amount of data needed to describe the image and effectively compressing it.
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