Dimensionality Reduction and Visualization Using Evolutionary Algorithms and Neural Networks

These notebooks contain experiments that are described in my Master thesis "Evolutionary Algorithms for Data Transformation".

The experiments are split into several jupyter notebooks:

[01]: the datasets used in the paper can be downloaded here, but they are also available in the datasets folder
[02]: improving success rate of kNN classification experiment
[03]: extracting results and plotting graphs from the [02] experiment
[04]: dimensionality reduction experiment
[05]: generalization of the evolution experiment
[06]: measuring learning times on datasets from [01] experiment
[07]: measuring run times on continuously increasing dimensions experiment

The raw results from the experiments are saved in results folder. The resulting graphs are in the graphs folder.

Name		Name	Last commit message	Last commit date
Latest commit History 235 Commits
datasets		datasets
graphs		graphs
plotting		plotting
results		results
.gitignore		.gitignore
01_download_datasets.ipynb		01_download_datasets.ipynb
02_experiment-successrate.ipynb		02_experiment-successrate.ipynb
03_experiment-successrate-results.ipynb		03_experiment-successrate-results.ipynb
04_experiment-dim-reduction.ipynb		04_experiment-dim-reduction.ipynb
05_experiment-fitness.ipynb		05_experiment-fitness.ipynb
06_experiment-runtimes.ipynb		06_experiment-runtimes.ipynb
07_experiment-runtimes-increasing.ipynb		07_experiment-runtimes-increasing.ipynb
README.md		README.md
processor_info.txt		processor_info.txt
techniques.py		techniques.py

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