You can Download WEKA tool @http://www.cs.waikato.ac.nz/ml/weka/downloading.html

First try to Install the WEKA tool and Read a Tutorial

www.cs.auckland.ac.nz/compsci367s1c/.../IntroductionToWeka.pdf

to understand and operate the WEKA tool.

WEKA tool is the best tool for Machine Learning and Data Mining.

As far as consern which classifiers you can use this after you import your statistical metrics or quanitities into WEKA tool by reading your column or row data from your .csv or .txt file. WEKA has various classifiers and can generate you a statistical binary tree decision for which you can model and structure your own Algorithm.

Basically WEKA tool provides you a pattern recognition statistical learning tree for which is your machine learning algorithm that will adapt and work for your own algorithm.

You can Use the trees.J48 Clone of the J4.5 Decision Tree Learner

Data can be imported from a file in various formats: ARFF, CSV, C4.5, binary

Follow the above Instructions and you will see the Value of WEKA Tool.

Good Luck!

The data is full numeric. I have prepared arff file also which weka accepts. But i dont understand how to use the training results for the testing purpose. For eg. I use some 100 images data for training purpose which i have classified as true and false image. Now i have some result which i am not able to interpret. Now i take some 50 images datra which is not being classified and i want to use the trained data to classify this data of 50 images. How to do this in weka..?

Each row of data contains 100 features of each image. i.e. Each column is one particular feature

I have a how to that I use in class. Note that WEKA is very picky on this task. So for example your training data has a feature that does not have missing data, but your score data does it will not work. Send me an email at [email protected] and I will send it to you.

I have done the above procedures. My doubt arises after the training portion. How to use this trained data to validate my test data to classify. As u said we have to train the models and calculate the errors. Can u just more elaborate it as to how to do it in WEKA..

@monica Tremblay: Madam i have mailed you the arff file. Can you just check it and tell me how can i use the result obtained through this training data apply to the testing data.

Pritesh didn't receive your file. Here is a video I created for class, where I use WEKA knowledge flow to score a data set. Start the video at about 1:40, because I start of using excel (I use both tools in my class)

http://www.youtube.com/watch?v=5JMvK_FCyN8

I have also enclosed a PDF that explains how to do this using WEKA explorer

Surely. i will see to it. Thanks a lot

You can Download WEKA tool @http://www.cs.waikato.ac.nz/ml/weka/downloading.html

First try to Install the WEKA tool and Read a Tutorial

www.cs.auckland.ac.nz/compsci367s1c/.../IntroductionToWeka.pdf

to understand and operate the WEKA tool.

WEKA tool is the best tool for Machine Learning and Data Mining.

As far as consern which classifiers you can use this after you import your statistical metrics or quanitities into WEKA tool by reading your column or row data from your .csv or .txt file. WEKA has various classifiers and can generate you a statistical binary tree decision for which you can model and structure your own Algorithm.

Basically WEKA tool provides you a pattern recognition statistical learning tree for which is your machine learning algorithm that will adapt and work for your own algorithm.

You can Use the trees.J48 Clone of the J4.5 Decision Tree Learner

Data can be imported from a file in various formats: ARFF, CSV, C4.5, binary

Follow the above Instructions and you will see the Value of WEKA Tool.

Good Luck!

Have you tried using the Trainable Weka Segmentation plugin in Fiji? You can read more about it here: http://fiji.sc/Trainable_Weka_Segmentation

Just one suggestion. Kindly use R software which in my opinion is a more pwerfule tool to perform classification on any data