INFS4203/7203 Assignment 3 (Python代写,Machine Learning代写,University of Queensland代写,INFS4203/7203代写)

Python代写 Machine Learning代写 University of Queensland代写 INFS4203/7203代写

The goal of this project is to gain practical experience in applying clustering to real data

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本次CS代写的主要涉及如下领域: Python代写,Machine Learning代写,University of Queensland代写,INFS4203/7203代写

INFS4203/7203 Assignment 3

Semester 2, 2020

 

 

Marks:

6 marks

Due Data:

23:59, 11 Oct 2020, Brisbane time

What to submit:

a report in the pdf format

Where to submit:

Turnitin link via blackboard

 

The goal of this project is to gain practical experience in applying clustering to real data. You must work on this project individually. The standard academic honesty rules apply. You are required to read and understand the School Statement on Misconduct, available on the School’s website at:

http://ppl.app.uq.edu.au/content/3.60.04-student-integrity-and-misconduct

 

 

Dataset:

We have a dataset stored in data.csv, which contains 1797 data points (1797 rows) and 2 attributes (2 columns). The first attribute is named “x”. The second attribute is named “y”.

 

 

Task:

Given the dataset, choose a proper algorithm to do clustering. Justify the result from the following aspects (maximum 500 words):

  1. Why this algorithm is suitable for this dataset? [3 marks]
  2. How do you determine the number of clusters or other parameters/Python function arguments? [3 marks]

Visualization (e.g., Fig. 1) is suggested to help explain your arguments.

 

 

 

 
 

 

 

 

Fig. 1