Lecture 3
Unsupervised learning
Clustering algorithms: Leader clustering and K-means clustering
Norms and metrics
Competitive learning
Adaptive resonance theory - 1970s
ART 1: Binary pattern learning
ART 2-A: A fast, algorithmic version of ART 2
Freud's neural networks
Clustering
Competitive learning
- Levine, Daniel S. (2000) Introduction to Neural and Cognitive Modeling. Hillsdale, NJ: Lawrence Erlbaum Associates, 2nd Edition. Part 1 Part 2 Part 3 Part 4
- Chapter 4: Competition, lateral inhibition, and short–term memory, pp. 95–154.
- Chapter 6: Coding and categorization, pp. 198–279.
- Malsburg, Christoph von der (1973) Self–organization of orientation sensitive cells in the striate cortex. Kybernetik, 14, 85–100.
- Grossberg, Stephen (1976) Adaptive pattern classification and universal recoding, I: Parallel development and coding of neural feature detectors. Biological Cybernetics, 23, 121–134.
Adaptive Resonance Theory – 1970s
ART 1
- Carpenter, Gail A., and Grossberg, Stephen (1987) A massively parallel architecture for a self–organizing neural pattern recognition machine. Computer Vision, Graphics, and Image Processing, 37, 54–115.
- Moore, Barbara (1989) ART 1 and pattern clustering. In David S. Touretzky, Geoffrey Hinton, and Terrence Sejnowski (Eds.) Proceedings of the 1988 Connectionist Models Summer School. San Mateo, Calif.: Morgan Kaufmann Publishers. pp. 174–185.
ART 2–A algorithm
Freud's neural networks