To visualise the results of the clustering analysis, the high dimensional data were projected into two dimensions using the t-distributed stochastic neighbour embedding (t-SNE) method. To do this the algorithm calculates the distances between each datapoint in high dimensional space, and estimates low-dimensional coordinates for each datapoints which preserves the distance between each point and its neighbours.