STrenD: Subspace Trend Discovery
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(Difference between revisions)
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== Output files == | == Output files == | ||
| − | + | For 17 samples of 3196 dimensions, clustering sigma = 0.8, k = 4: | |
| + | 1. 3196_17_0.8_clustering.txt: agglomerative clustering result, containing index and feature names; | ||
| + | 2. 3196_17_0.8_4_NS.txt: pair-wise neighborhood similarity matrix of feature clusters; | ||
| + | 3. Shanbhag.txt: | ||
| + | 4. 3196_17_0.8_4_AutoSelFeatures.txt: selected feature index and names; | ||
| + | 5. data_selected_vis.txt: table of normalized data with selected features for visualization; | ||
| + | 6. vis_coordinates.txt: output visualization coordinates after dimension reduction by t-SNE. | ||
== Gallery == | == Gallery == | ||
Revision as of 16:42, 21 August 2014
Contents |
Software Interface
Procedure
Output files
For 17 samples of 3196 dimensions, clustering sigma = 0.8, k = 4: 1. 3196_17_0.8_clustering.txt: agglomerative clustering result, containing index and feature names; 2. 3196_17_0.8_4_NS.txt: pair-wise neighborhood similarity matrix of feature clusters; 3. Shanbhag.txt: 4. 3196_17_0.8_4_AutoSelFeatures.txt: selected feature index and names; 5. data_selected_vis.txt: table of normalized data with selected features for visualization; 6. vis_coordinates.txt: output visualization coordinates after dimension reduction by t-SNE.
