Discriminative Margin Clustering

Kamesh Munagala, Rob Tibshirani and Patrick O. Brown

Home
Paper Home  
Figures
Paper figures  
Data Set
Tumor and Normal data set
Analysis
Results of the clustering method on the data 
Code
C code for the clustering and expansion methods
Authors
People who contributed to the project

Figures

    Figure 1: Schematic of the margin classifier.

    Figure 2: Schematic of discriminative margin clustering.

    Figure 3: Heatmap for the toy example.

    Figure 4: Dendograms for hierarchical and discriminative margin clustering on the toy example.

    Figure 5: Training and test errors for the toy example.

    Figure 6: Dendogram for the lung samples. Note that there is no common feature set for the large cell sub-type, though traditional hierarchical clustering groups these samples together. Also, the sub-groups for the other classes are different from those produced by traditional clustering methods.

    Figure 7: Margin for the test samples along with the label of the cluster which yields the largest margin. The vertical lines separate the actual classes of the test samples, while the color of the points illustrate the predicted class.

    Figure 8: Training and test errors for the samples.

    Figure 9: Heatmap for the expanded gene-list of a breast cancer sub-type. Note the spread of expression values in the normal samples. Also note that ERBB2, GRB7 and LIV-1 define one sub-class, while ESR1 and NAT1 define the other sub-class.