homeabout uscontact us

 

Tutorial 4: Step 9 Create a SOM Plot

 

If the SOM Plot is already displayed, there is no need to recreate it. Read below the image for information about the plot.

 

Create a SOM Plot

1. Double-click the SOM: samples | 2x2 | Pearson experiment in the Experiments navigator. The item is highlighted and a SOM plot of the selected item is displayed.

OR

1. If the SOM: samples | 2x2 | Pearson experiment in the Experiments navigator is not already highlighted, click it.

2. Select SOM Plot from the Clustering menu, or right-click the item and select SOM Plot from the shortcut menu. A SOM plot of the selected item is displayed.

A Tour of the Plot

The 'architecture' of the SOM, which you input as Height and Width values in the example above, forms the heart of the plot. Each node of the SOM is depicted as a small solid circle. These are arranged in an array, in this case, of 4 nodes (= 2x2).

Each node is also surrounded by an open circle of varying size. The radius of this open circle indicates the number of cluster items associated with each node (e.g. the number of samples, if you clustered samples).

In the right-hand pane is the list of items in the selected cluster, and in the lower pane is a characteristic profile of that cluster.

 

Similarity Between Nodes

Each node in a SOM is defined by its reference vector, and the similarity or distance between these reference vectors is part of the plot. This similarity is represented two ways:

1. By the coloration of the background behind the array of nodes.

2. By the lines linking adjacent nodes.

By default, the background color scheme uses dark blue to represent high similarity and white to indicate low similarity. Thus groups of similar nodes can be recognized as dark blue areas separated by light blue areas. Conversely, the lines linking adjacent nodes are colored light to represent high similarity, and dark to represent low similarity, so they should stand out against the background.

You can see that in our example the most similar pair of neighboring nodes is the pair at the bottom, Clusters #1 and #2.

 

Node Membership

Display a line graph showing all the items in the cluster by clicking a node and selecting Cluster Plot from the Clustering menu, or by right-clicking a node and selecting Cluster Plot from the shortcut menu.