rpissardo-zz / kmeans

Coding a kmeans code that read a database with 4 attributes and n classes

Kmeans

Coding a kmeans code that read a database with 4 attributes and n classes.

I am using, 3 datasets.

cancer.data

• has 2 classes

arrythmia.data

• has 16 classes

iris.data

• has 3 classes

Number of Clusters

So, because of numbers above, I choose to generate three graphs with 2, 3, and 16 clusters.

Datasets

All datas were downloaded from UCI repository: https://archive.ics.uci.edu/ml/datasets.html?format=&task=&att=&area=&numAtt=&numIns=&type=&sort=taskUp&view=table

Algorithm

Based on:

http://scikit-learn.org/stable/auto_examples/cluster/plot_cluster_iris.html#sphx-glr-auto-examples-cluster-plot-cluster-iris-py