The basics of machine learning and recognition

CZ: Semestrální práce k předmětu KKY/ZSUR na katedře kybernetiky Západočeské univerzity v Plzni.

EN: Term paper for subject "The basics of machine learning and recognition" at University of West Bohemia in Pilsen.

Running project

Run project in console by typing in project folder $ python -m zsur, or by running __main__.py file directly. But it will run the main file only. It is going to plot specified set of points.

To get machine learning methods from project, you have to run relevant .py file.

How many classes is in data?

1. cluster_levels.py
2. chain_map.py
3. maximin.py

Divide data into classes

1. kmeans.py
2. unequal_binary.py

Classifiers

1. bayes.py
2. minimal_distance.py
3. nearest_neighbour.py
4. linear_disc.py

Technical information

$ python
Python 3.6.4 | Anaconda (64-bit)

Read requirements.txt!

!Warning! Data from k-means algorithm are in Python dictionary like this one: {(center_of_cluster): [(point), (point), ...], ...}

Additional information

Project structure and setup taken from chriswarrick.com.