machine-learning
K-means clustering
taught
Partitioning data into k groups by minimizing within-cluster variation, via an iterate-and-reassign algorithm.
Taught in
-
K-means clustering
Modern Machine Learning
Requires
- the-ml-course-map required
- scaling-and-standardization required
Required by
- DBSCAN required
- Gaussian mixture models and the EM algorithm required
- Hierarchical clustering required
Local knowledge map
Local knowledge map
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