Current Slide

Small screen detected. You are viewing the mobile version of SlideWiki. If you wish to edit slides you will need to use a larger device.

The K-Means Clustering Method

  • Given k, the k-means algorithm is implemented in four steps:
    • Partition objects into k nonempty subsets
    • Compute seed points as the centroids of the clusters of the current partitioning (the centroid is the center, i.e., mean point, of the cluster)
    • Assign each object to the cluster with the nearest seed point
    • Go back to Step 2, stop when the assignment does not change

Speaker notes:

Content Tools

Sources

There are currently no sources for this slide.