16. (5 points) You are using k-means clustering in color space to segment an image. How- ever, you notice that although pixels of similar color are indeed clustered together into the same clusters, there are many discontiguous regions because these pixels are often not directly next to each other. Describe a method to overcome this problem in the k-means framework.

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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16. (5 points) You are using k-means clustering in color space to segment an image. How-
ever, you notice that although pixels of similar color are indeed clustered together into
the same clusters, there are many discontiguous regions because these pixels are often not
directly next to each other. Describe a method to overcome this problem in the k-means
framework.
Transcribed Image Text:16. (5 points) You are using k-means clustering in color space to segment an image. How- ever, you notice that although pixels of similar color are indeed clustered together into the same clusters, there are many discontiguous regions because these pixels are often not directly next to each other. Describe a method to overcome this problem in the k-means framework.
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