Genetic Algorithm on K-Means Clustering

The approaches which I used

python __main__.py

data which I analysis them is Iris
- data/iris.csv have 3 column and data/iris2.csv have 4 column and data/isis_with_header.csv with header
config.txt contain control parameters
- kmax : maximum number of clusters
- budget : budget of how many times run GA
- numOInd : number of Individual
- Ps : probability of ranking Selection
- Pc : probability of crossover
- Pm : probability of mutation

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
data		data
result		result
.gitignore		.gitignore
__main__.py		__main__.py
chromosome.py		chromosome.py
cluster.py		cluster.py
config.txt		config.txt
generation.py		generation.py
genetic.py		genetic.py
kmeans-test.py		kmeans-test.py
readme.md		readme.md