BTM400 - Data Analytics Assignment

Assignment Task

Instructions

Use Weka Explorer to apply k-means clustering on the dataset that presents a class label. Use the dataset you are using for assignment 2. Clustering should be done by ignoring the class label.

Clustering using K-means:

• Under preprocess tab, load the dataset.
• Under Cluster tab, choose Kmeans. Make sure the number of clusters corresponds to the number of class levels you have for the class attribute.
• Click on the Ignore attribute, and select the class attribute.

Cluster evaluation through inspection

• Show the final cluster centroids and the within-cluster sum of squared errors. 
• Interpret the quality of the clusters through inspection. 
• What does each cluster represent?
• How are the clusters similar and how they are different?
• Report each cluster characteristics.

Cluster evaluation through evaluation measures

• Calculate the entropy of each cluster and the overall entropy over the clusters. 
• Interpret the per cluster entropy and the overall entropy value.

Classes to cluster evaluation

• Show the classes to clusters evaluation results. 

This BTM400 – IT and Computer Science has been solved by our PHD Experts at My Uni Paper.