Perform pca on the data set to reduce the data set

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Reference no: EM133423648

Question: We wish to perform classification of Breast Cancer test samples from a source data set. The dataset consists of 569 samples with 30 feature measurements per sample. Your job is train on 10% of the data to see how well it will classify the remaining 90% of the data using a Support Vector Machine approach. The data points are to be classified into 'Benign' and 'Malignant' based on the data available.

(a) Perform PCA on the data set to reduce the data set to 2 dimensions from 30. Plot the points for the two classes from your training set.

(b) PerformFisherLinearDiscriminant(FLD)analysistoreducethedatasetto2dimensions. Plot the points for the two classes from your training set.

The dataset is taken from: K. P. Bennett and O. L. Mangasarian: "Robust Linear Program- ming Discrimination of Two Linearly Inseparable Sets", Optimization Methods and Soft- ware 1, 1992, 23-34.

Reference no: EM133423648

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