Machine Learning
K-Means
Abel Sanchez
and
John R. Williams
Centroid
Active Learning
Calculate centroid ...
K-Means
K-Means Algorithm
Place K points into the space represented by the objects. These points represent initial group of centroids.
Assign each object to the group that has the closest centroid.
When all objects have been assigned, recalculate the positions of the K centroids.
Repeat Steps 2 and 3 until the centroids no longer move.
K-Means Algorithm
Visualization
Active Learning
Write an implementation of K-Means …
Active Learning - Pick Random Means
Active Learning - Assign Centroids
Distance Between Two Points
Active Learning - Get Clusters
Active Learning - Recalculate Centroids
Centroid
THE END