K-Means Clustering for images

K-Means Clustering for Images
- Python for Integrated Circuits -
- An Online Book -

Python for Integrated Circuits http://www.globalsino.com/ICs/

Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix

=================================================================================

============================================

The most common kind of clustering is K-means clustering, which involves representing each cluster by a variable “k” and then defining the centroid of those clusters. That is, k represents the number of clusters.

============================================

K-Means Clustering for images. cod e:
          continue in Python
Input:

Output:

============================================

K-Means Clustering for images. cod e:
          continue in Python
Input:

Output when k = 1:

Output when k = 2:

Output when k = 3:

Output when k = 4:
          continue in Python
Output when k = 5:

Output when k = 6:

Output when k = 7:

Output when k = 8:

Output when k = 9:
          continue in Python
Output when k = 10:

Output when k = 11:

Output when k = 12:

=================================================================================