You are required to apply the following clustering techniques using the WEKA software on only 10 of the datasets you selected in task 1:
(1) K-means,
(2) Agglomeration method
Remove the class attribute before applying the above clustering methods.Once you have applied the clustering techniques on all the datasets, it is required to accomplish the following tasks:
Deliverables of this component of the coursework are:
You are to write a report addressing the aforementioned tasks in no more than 1500 (1000 classification + 500 clustering) words excluding figures and tables. Your report must cover the following areas:
The submission is online through Moodle (the submission details will be available on Moodle).
This component (task 1 and 2) of your coursework contributes 60% of the total mark (40% Task I and 20% Task 2) for the unit assessment. The marking criteria [in 100% breakup of marks] for this component are as follows:
20%Justification of choice and number of the datasets used
20%Appropriate use of tables and figures when reporting the results
30%Analysis of the results of the experiments you have conducted
20%Conclusion with recommendations on how to match a dataset to a technique
10%Organisation, language style and clarity