VizStruct Tutorial (2)

 
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EM Mixture Plot
EM mixture plot depicts unsupervised data clustering purly based on the visualization distribution of the data set. It offers two visualizations:
  • Cartesian scatter plot: similar to the one offered in basic plot. However, it will also plot the covariance and colors the clustering result.
  • BIC curve and scatter plot matrix: user input a cluster upper bound N>0. A BIC curve and N scatter plot matrix showing how the data set is clustered assuming the number of clusters from 1 to N.
  1. Parameters
    • Plot Mode: symbols or numbers in the catesian plot or BIC curve and catesian plot matrix
    • Harmonic: same as in the basic plot
    • Cluster Number: tell VizStruct how much many data clusters in the data set
    • Font Size: same as in the basic plot
    • Plot Color: same as in the basic plot
    • Aspect: same as in the basic plot
  2. Preprocess: same as in the basic plot
    • Normalization: same as in the basic plot
    • Sort Dim: same as in the basic plot
Try Yourself
  • Colored Cartesian plot with cluster number be 2
    • Click "Default Values" button to reset values
    • Set "Plot Mode" '1. marker'
    • Set "Cluster Number" '2'
    • Set "Font Size" '8'
    • Click "Default Values" button to reset values
    • Set "Plot Mode" '3. bic'
    • Set "Cluster Number" '2'
    • Set "Font Size" '8'
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© 2001 Li Zhang. All right reserved. Department of Computer Science and Engineering
State University of New York at Buffalo
Last Modified: 9/6/2004