How to cluster colors using weka jar in java

#How to cluster colors using weka jar in java how to

The MySQL JDBC driver is called Connector/J. Suppose you want to connect to a MySQL server that is running on the local machine on the default port 3306. First, you'll have to modify your DatabaseUtils.props file to reflect your database connection. Reading from Databases is slightly more complicated, but still very easy. For example, the XRFF format saves the class attribute information as wellДata.setClassIndex(data.numAttributes() - 1) setting class attribute if the data format does not provide this information import .DataSource ДataSource source = new DataSource('/some/where/data.arff') It can also read CSV files and other formats (basically all file formats that Weka can import via its converters it uses the file extension to determine the associated loader). The DataSource class is not limited to ARFF files. The classifiers and filters always list their options in the Javadoc API ( stable, developer version) specification.ДЄ comprehensive source of information is the chapter Using the API of the Weka manual. A link to an example class can be found at the end of this page, under the Links section.

#How to cluster colors using weka jar in java how to

The following sections explain how to use them in your own code.

Attribute selection - removing irrelevant attributes from your data.

Evaluating - how good is the classifier/clusterer?.

Classifier/Clusterer - built on the processed data.The most common components you might want to use are