Principal Component Analysis, Cluster Analysis and Forecasting of case study data. Module: Data Mining with Business Applications.This assignment will assess the following learning outcomes: 1. Use,...

Principal Component Analysis, Cluster Analysis and Forecasting of case study data. Module: Data Mining with Business Applications.This assignment will assess the following learning outcomes:
1.  Use, and interpret the output from, appropriate data mining software. 2.  Correctly apply and consider both multivariate and other techniques within appropriate data mining software.  3.  Critically apply a variety of multivariate techniques. 4.  Carry out a multivariate analysis of real data. 5.  Effectively communicate the rationales and results of data mining and multivariate analysis both as a concept and as a practical skill to specialists and non-specialists.
R.1 DEADLINE:   17th July 2017 to be submitted via turnitin on Blackboard
R.2 ASSESSMENT FOR THIS MODULE
This module was originally assessed via a case study.  This refer assignment will reassess aspects using a new dataset.  You will need at least 40% on this reassessment to pass the module.
R.3 PROBLEM OUTLINE
The following data concerns observations taken from the 'Pima Indians Diabetes Database'1.  It has been previously used by Smith et al (1988)2