Project Description

Iris is a web based classification system. The system is a bayes classifier and calculates (and compare) the decision based upon conditional probability of the decision options. This system currently classify 3 groups of flowers from the iris dataset depending upon a few selected features. The concept which makes Iris stand out is the use of a 'window'. A window is incorporated along with the threshold while sampling. The window helps using a small dataset and emulate more samples.

The future versions will make an option to upload the dataset and select the features to help researchers select the best features for data classification.

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  • Latest Download File
    • (Date: 2012-03-29, Size: 75.35 KB)
    • style.css (Date: 2012-03-29, Size: 833 B )
    • README.txt (Date: 2012-03-29, Size: 469 B )
    • norm.php (Date: 2012-03-29, Size: 6.39 KB)
    • IRIS.csv (Date: 2012-03-29, Size: 6.68 KB)

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