Assume that a data set describing N numeric features (FL..FN) for a set of countries has been supplied. Each feature describes a global performance measure, such as %employment, Gross Domestic Product (GDP), etc. The country data can be represented as a table, as shown below in TABLE 1. TABLEI Countries and Features Country Name F, F2 FN Australia 7.3 New Zealand 40.0 10.4 0.9 0.3 2.0 Countries N Features describing each country (a) Explain how a Self-Organising Map (SOM) could be used to determine whether there is a relationship between particular features and various countries. Include with your explanation a description of the architecture of the SOM, how the resulting SOM would be labelled, and how you could interpret the output from the SOM. Assume that a data set describing N numeric features (FL..FN) for a set of countries has been supplied. Each feature describes a global performance measure, such as %employment, Gross Domestic Product (GDP), etc. The country data can be represented as a table, as shown below in TABLE 1. TABLEI Countries and Features Country Name F, F2 FN Australia 7.3 New Zealand 40.0 10.4 0.9 0.3 2.0 Countries N Features describing each country (a) Explain how a Self-Organising Map (SOM) could be used to determine whether there is a relationship between particular features and various countries. Include with your explanation a description of the architecture of the SOM, how the resulting SOM would be labelled, and how you could interpret the output from the SOM