Description
- Introduction to clustering
- The k-means algorithm, visual words and dictionary learning
- Hierarchical clustering
- Competitive learning, Kohonen self organization maps
Slides
Slides for this lecture: PDFLecture video
ClusteringSuggested Reading
- Jain A.K.Data clustering: 50 years beyond K-means. Pattern Recognition Letters, 2010.
- Kiani R., Esteky H., Mirpour K. and Tanaka K.Object Category Structure in Response Patterns of Neuronal Population in Monkey Inferior Temporal Cortex. J Neurophysiology, 2007.