|
Tutorial 3B: Step 2 Perform Partitional Clustering
Perform Partitional Clustering
1. If the 3-nearest-neighbors (or Estimated: #mv <30 | median) dataset in the Experiments navigator is not already highlighted, click it.
2. Click the Partitional
Clustering toolbar icon 
, or select Partitional
Clustering from the Clustering
menu, or right-click the item and select Partitional
Clustering from the shortcut menu. The Partitional
Clustering parameters dialog is displayed.
3. Set dialog parameters.
|
Parameter |
Setting |
|
Clustering Orientation |
Cluster Genes |
|
Distance Measurements: Between Data Points |
Euclidean |
|
Algorithm Properties: Type |
Jarvis-Patrick |
|
Algorithm Properties: Neighbors to Examine |
6 |
|
Algorithm Properties: Neighbors in Common |
2 |
4. Click OK. The partitional clustering operation is performed and upon successful completion, a new J-P (6,2) genes | Euclid | average experiment is added to the Experiments navigator under the original dataset.
If you have automatic visualizations enabled in your user preferences, a matrix tree plot of the clustering results is displayed.
