What is a common application of K-means clustering in the real world?
Correct Answer: Image segmentation
- Step 1: Understand what K-means clustering is. It is a method used to group similar items together based on their features.
- Step 2: Know that one common application of K-means clustering is in image segmentation.
- Step 3: In image segmentation, the goal is to divide an image into different parts or segments.
- Step 4: K-means clustering helps by grouping similar pixels in the image based on their color or intensity.
- Step 5: This grouping makes it easier to analyze or process different areas of the image, like identifying objects.
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