CSCI 3302代做、代写Python程序语言、代做K-Means、Python设计代写

日期：2018-12-03 10:49

CSCI 3302: Introduction to Robotics

Homework 3+4: Clustering and Classification

Due Date: Dec 4, 2018 @ 11:55pm

(Extra credit available: 2pts per day early, up to a maximum of 14pts)

Using Homework3.py as a base, implement the functionality required for K-Means

clustering (50%) and K-Nearest Neighbor classification (50%). You may use numpy

or any math library you prefer, though this is not necessary. You are not permitted

to call k-Means or k-NN classifiers from other packages to implement your own.

The provided Python file will output your k-Means cluster centers and assess your

kNN classifier accuracy using Leave-One-Out-Cross Validation. You are to complete

this assignment on your own (without collaboration).

Submit your fully implemented Homework3.py file, as well as the

hw3_kmeans_*.pkl file containing your cluster centers to Moodle for full credit.