AdvancedPatternRecognitionCode

Classification (Pattern Recognition) algorithm development with Bayesian, Anti-Bayesian, Decision Tree and Dependence Tree concepts.

Used Data set: a. Real glass dataset b. Artificially generated data

Traning and Testing methods: 5-Fold Cross Validation

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
Anti-bayesian		Anti-bayesian
Bayesian		Bayesian
Data_generation		Data_generation
Decision Tree		Decision Tree
Dependence Tree		Dependence Tree
Example_implementation		Example_implementation
Images		Images
Independent		Independent
Library		Library
Not possible		Not possible
data		data
Analysis.py		Analysis.py
AntiBayesExpJnlPublished.pdf		AntiBayesExpJnlPublished.pdf
Artificial_glass_binary_Dependency_bayesian.py		Artificial_glass_binary_Dependency_bayesian.py
Ayan_Chatterjee_Report_Advanced Topics in Pattern Recognition_final.pdf		Ayan_Chatterjee_Report_Advanced Topics in Pattern Recognition_final.pdf
BayesClassifiers.pdf		BayesClassifiers.pdf
ProjectIKT715_2019.pdf		ProjectIKT715_2019.pdf
README.md		README.md
_config.yml		_config.yml
calculate_glass_binary_bayesian.py		calculate_glass_binary_bayesian.py

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