Simple Matlab Task

1. Evaluate PCA and ISOMAP. - Get a copy of PCA and ISOMAP implementation in MATLAB. - Download 3 data sets from UCI repository. Note that the dimensionality of each data set is preferably greater than 10. - Evaluate the PCA and ISOMAP method with the data sets. Be creative how to evaluate and discuss your observations. 2. Design a mini project and use the methods like (AdaBoosting, Bagging, fuzzy c means, k means, LDA, perceptron) but not limited to those methods to achieve a clustering or classification objective. - Make necessary changes to the code and implement additional ones when needed. - Evaluate the programs with either synthetic data sets or real-world data sets. - Write a report to discuss the problem, the implementation, and the results. A report that includes the following items is due in addition to the source code for the functions: - A description of each function, - how to run the functions to get the reported results, and - discussion of the experimental results.