1. Distance metrics in pattern recognition
... have had much success on a wide variety of applications (real-world classification tasks). Many neural network models also make use of distance functions, including radial basis function networks, counterpropagation networks ,ART self-organizing maps and competitive learning. Distance functions are also used in many fields besides machine learning and neural networks, including statistics, pattern recognition, and cognitive psychology .There are many distance functions that have ... ...
- Word Count: 3729
- Approx Pages: 15
- Has Bibliography
- Grade Level: High School