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By clustering the NCI60 t_matrix dataset , you can get an idea of the speed of Jarvis-Patrick clustering. First, missing values in the dataset must be estimated.
If you have completed Tutorial 2 (you have a 3-nearest-neighbors dataset under the t-matrix dataset in the Experiments navigator already) skip to Step 2 Perform Partitional Clustering.
Estimate Missing Values
1. If the t_matrix dataset in the Experiments navigator is not already highlighted, click it.
2. Click the Estimate Missing Values toolbar icon , or select Estimate Missing Values from the Data menu, or right-click the item and select Estimate Missing Values from the shortcut menu. The Estimate Missing Values dialog is displayed.
3. Set dialog parameters.
Parameter |
Setting |
Remove Genes That Have Missing Values |
30 |
Replacement Technique |
Nearest Neighbors Estimation |
Distance Metric |
Euclidean |
Choice of Median or Mean |
3 |
4. Click OK. The Estimate Missing Value operation is performed and upon successful completion, a new complete Estimated: #mv <30 | medians dataset is added to the Experiments navigator under the original dataset.