Step 11: Click on Run Menu \Run Main Project, weka project will be executed Step 10: Click on Build Menu\Build Main Project, weka project will be compiled Step 9: Now switch to Net beans and click on Weka project and Source Package, we can observe that all the earlier files such as classification, gui, clustering, filters etc are dumped in to it. You will see a warning message that there is already a folder called weka. Next, paste this folder into “C:\Users\UserName\Documents\DataAnalysis\src\main\java\weka”. So browse to the location “C:\Users\UserName\Documents\temp\src\main\java\weka” and copy the folder, “weka”. Step 8: in step 6, we had extracted the contents of the weka src jar folder. Put tick mark in Set as Main project, create main class.Project Folder: C:\Users\UserName\Documents\ Data_Analysis \weka.Project Location: C:\Users\UserName\Documents\Data_Analysis.In the New Project dialog box that appears chose
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Step 7: Open Netbeans IDE and create a new java application project as following. So after extraction, you should have folders like lib, src, meta-inf, test and build.xml file in the temp folder. Step 6: Extract the contents of the jar file using WinRar or WinZip software in a temporary folder in the Documents folder like temp. Step 5: Copy the wek-src.jar file found in Step 3 and paste it in the Data_Analysis folder at Step 4 For example C:\Users\UserName\Documents\Data_Analysis Step 4: Now create a folder called “Data_Analysis” in your Documents or any convenient location you like.
![how to install weka clusterers in r how to install weka clusterers in r](https://static.fdocuments.in/img/1200x630/reader024/reader/2021012623/546f12deb4af9f664a8b45fe/r-1.jpg)
Typical location will be at “C:\Program Files\Weka-3-7\weka-src.jar” Step 3: Search for the “weka src jar” file on your computer. Step 1: Download the latest version of Weka from here Off recently, It so happened that I required the need to understand the working of Weka algorithms.
#How to install weka clusterers in r how to
How to compile and execute weka source code on your computer- Part 1