Pattern Recognition algorithms & methods
Pattern Recognition algorithms & methods:
Classifiers
- Bayes minimal classification error
- Bayes minimal classification cost
- Neyman-Pearson
- Linear classifiers: Desired Output, II iterative method
Wald's sequential test
Clustering
- Kmeans
- Square error
Some of the classification and clusterization results are shown below. Directory named 'images' contains all results.
Some classification results
| Hypothesis tests | Quadratic classifier |
|---|---|
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Some clusterization results
| K-means result | Elbow method applied to K-means |
|---|---|
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