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<body bgcolor = "#FFFFCC"><basefont face = "Arial"> |
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<h1>KMS: K-Means/K-Medians Support</h1><h2>Parameter Information</h2> |
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<hr size = 10> |
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<h2> Sample Selection </h2> |
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The sample selection option indicates whether to cluster genes or experiments. |
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<br> |
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<h2> Distance Metric Selection </h2> |
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This area allows the selection of the metric to be used to assess gene-to-gene |
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or sample-to-sample distances. The initial metric displayed (choosen) corresponds to the global |
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setting in the Multiple Array Viewer's 'Metrics' menu. Alterations to the |
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chosen metric in this dialog will only alter the metric used for the current |
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algorithm run. The global setting in the main 'Metrics' menu will remain unchanged. |
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<br><br> |
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An appendix in the MeV manual describes the distance metrics offered in MeV. |
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<h2>Means/Medians option</h2> |
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The Means or Medians option indicates whether each cluster's centroid vector |
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should be calculated a mean or a median of the member expression patterns. |
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<br> |
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<h2>Number of k-means/k-medians runs</h2> |
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This integer value indicates how many times KMC should be run. |
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<br> |
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<h2>Threshold % of occurrence in same cluster</h2> |
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This parameter indicates the minimum percentage of times that two elements |
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should cluster together in order consider the two elements in a cluster. |
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For instance, if 10 KMC runs were run, and the percentage was 80% then a pair of |
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expression elements found together at least 8 times would be considered |
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to pass a criteria to be included in a cluster. |
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<br> |
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|
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<h2> Number of Clusters (K)</h2> |
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This positive integer value indicates the number of clusters to be created during |
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each KMC run. Note that for K-Means support the final number may turn out to |
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be slightly smaller or larger than this entered value depending on the nature |
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of the input data and the appropriate selection of K (number of clusters to create). |
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Note that FOM can be used to estimate an appropriate value for K. |
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<br> |
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<h2> Number of Iterations </h2> |
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This positive integer value is the maximum number of times that all the elements in the data set |
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will be tested for cluster fit. On each iteration each element |
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is associated with the cluster with the closest mean (or median). |
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<br><br> |
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Note that a KMC run will terminate when either no elements |
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require migration (reassignment) to new clusters or when the maximum number of |
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iterations has been reached. |
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<br> |
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<h2> Hierarchical Clustering </h2> |
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This check box selects whether to perform hierarchical clustering on the elements in each cluster |
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created. |
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<br> |
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</basefont> |
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</body> |
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</html> |