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Machine Learning in Java - Second Edition
book

Machine Learning in Java - Second Edition

by AshishSingh Bhatia, Bostjan Kaluza
November 2018
Intermediate to advanced
300 pages
7h 42m
English
Packt Publishing
Content preview from Machine Learning in Java - Second Edition

An example using ELKI

In Chapter 3Basic Algorithms – Classification, Regression, and Clustering, you already saw how to get the required .jar file for ELKI. We will follow a similar process, as follows:

Open Command Prompt or Terminal, and execute the following command:

java -jar elki-bundle-0.7.1.jar

This will provide the GUI interface, as shown in the following screenshot:

In the GUI, the dbc.in and algorithm parameters are highlighted and need to be set. We will use pov.csv file, as dbc.in. This CSV file can be downloaded from https://github.com/elki-project/elki/blob/master/data/synthetic/ABC-publication/pov.csv.

For the algorithm, select ...

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Publisher Resources

ISBN: 9781788474399Supplemental Content