Chapter 9. Clustering, Classifying, and Working with Weka
In this chapter, we will cover the following recipes:
- Loading CSV and ARFF files into Weka
- Filtering, renaming, and deleting columns in Weka datasets
- Discovering groups of data using K-Means clustering
- Finding hierarchical clusters in Weka
- Clustering with SOMs in Incanter
- Classifying data with decision trees
- Classifying data with the Naive Bayesian classifier
- Classifying data with support vector machines
- Finding associations in data with the Apriori algorithm
