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What is a common application of K-means clustering in the real world?
What is a common application of K-means clustering in the real world?
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What is a common application of K-means clustering in the real world?
Image segmentation
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K-means clustering is often used in image segmentation to group similar pixels together.
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Q: What is a common application of K-means clustering in the real world?
Solution:
K-means clustering is often used in image segmentation to group similar pixels together.
Steps: 5
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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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