Create the dataset for clustering using the following code. Apply K-means clustering and determine the cluster centres. Generate the random text dataset and validate the performance of the implemented algorithm in terms of accuracy.
Mu1= [ 5 6];
Mu2= [ 25 10];
Mu3= [15, 20];
Plot the cluster points with the computed cluster centres.
Use the given data “Data_Naive_Bayes” to implement and validate the Naïve Bayes algorithm for classification.
3. Use the given data “Data-linear-regression” to implement Linear Regression.