use python to tune hyper parameters for clustering

Are you pressed for time and haven’t started working on your assignment yet? Would you like to buy an assignment? Use our custom writing services for better grades. Even if your deadline is approaching fast, our writers can handle your task right when you need it. Our writers will complete your order from scratch and make sure it’s completely unique.

Order a Similar Paper Order a Different Paper

The goal of this question is to tune the hyper parameters of techniques to get exact cluster numbers, and compare your results with the clusters provided.

Prereqs: You will be given a dataset with cluster IDs attached.

Using the dataset provided, determine the number of classes (clusters). Using k-mean technique, tune the hyper parameters until you can cluster the new dataset having the exact cluster number in the provided dataset.

Load the new dataset and cluster. Make a scatter plot of new dataset by the true class. Use the first column on the x-axis and the second column on the y-axis. Calculate the centroids in clusters. Eliminate the third column (the class column). Cluster the new dataset using K-mean and tune the hyperparameters until you can obtain the exact cluster numbers or number of classes. Report the new hyper parameters. Make the same plot by new cluster id obtained by the tuned hyper parameters. Calculate and tabulate the new centroids in clusters. Comment of the similarities and differences between two plots.

Do you need help with this or a different assignment? Even when your task is complicated and the deadline is in less than 2 days, you still have every chance to get a good grade for it. How? By completing the order form, you will get the finest custom-written assignment at an affordable price. We also deliver a number of services for free (e.g., revisions, editing, checking the text for authenticity). Use our paper writing service to receive effective help with your homework.

Order a Similar Paper Order a Different Paper