K-Mean Algorithm
1. Initialize
• Select initial m cluster centers
2. Find associations
• For each xi, assign the cluster with nearest center
• Find A to minimize J(X; C, A) with fixed C
3. Find centers
• Compute each cluster center as the mean of data in
the cluster
• Find C to minimize J(X; C, A) with fixed A
4. Stopping criterion
• Stop if clusters stay the same. Otherwise go to step 2
Numbers and figures are an essential part of our world, necessary for almost everything we do every day. As important…
APPROVED BY CLIENTS
"assignmentexpert.com" is professional group of people in Math subjects! They did assignments in very high level of mathematical modelling in the best quality. Thanks a lot
Comments
Leave a comment