Continuation of Project #2 - IT Computer Sciences Assignment Help

Assignment Task

Overview

Both wavelet and Fourier transform can be applied in the pre-processing step to improve the accuracy of classification.

Both wavelet and Fourier transform can be applied in the pre-processing step improve the accuracy

There are several orthogonal Daubechies wavelets: db1 (2 coefficients), db2 (4 coefficients), db3, (6coefficients), etc.are several orthogonal Daubechies wavelets: db1 (2coefficients), db2 (4 coefficients), db3, (6coefficients), etc.Compare the performance of your classification algorithms by employing db1, db2, db3, and FFT as pro- processing techniques, in terms of accuracy, Precision, Recall, Fb-score, and b=0.5, 1, 2. Compare the performance of your classification algorithms by employing db1,db2, db3, and FFT as pro-processing techniques, in terms of accuracy, Precision, Recall, Fb-score, and b=0.5, 1, 2. Face Identification: see if you can build a classifier to identify individuals in the training set.

Task 1.  Face Classification: Consider the various faces and see if you can build a classifierb that can reasonably identify an individual face.

Task 2. Gender Classification: Can you build an algorithm capable of recognizing men from women?

Task 3. Unsupervised algorithms: In an unsupervised way, can you develop algorithms that automatically find patters in the faces that naturally cluster?

NOTE: You can use any (and hopefully all) of the different clustering and classification methods discussed. Be sure to compare them against each other in these tasks.

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