Weka supported algorithms and Weka simple clustering examples

Weka is the platform of data mining and integrates many algorithms. Below is the latest version of Weka-3-6-10.exe (download page: http://www.cs.waikato.ac.nz/ml/weka/downloading.html) Show:

Classification algorithm:

Clustering algorithm:

Correlation algorithm:

A simple example of clustering:

Clicking Open File opens the CSV file, each line of this file is separated by commas, note that the first line should have column headings, otherwise the import csv appears attribute names is not unique error. After successfully opening a file to be clustered, it automatically parses the data for each column. Simply count the maximum, minimum, and average values for each column.

Click Cluster to Cluster

Click the Choose Selection algorithm

Click on the text after choose, the algorithm parameter configuration box appears

Write here to gather 12 classes, then OK, click Start to Start clustering

Right output

The class center of each class is output, and the number of records and the percentage of the included are output below.