/pattern-recognition

Pattern Recognition algorithms and methods: Hypothesis tests, Wald's Sequential Test, Linear and Quadratic Classifiers, Clustering Methods (K-means and Square Error).

Primary LanguageMATLABMIT LicenseMIT

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
Hypothesis tests Quadratic classifier

Some clusterization results

K-means result Elbow method applied to K-means
K-means Results Elbow method