Functions |
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Consensus clustering |
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Combine algorithms |
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Evaluate, trim, and reweigh algorithms |
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Consensus matrix |
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Graphical Displays |
External validity indices |
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K-Nearest Neighbours imputation |
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Impute missing values |
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Simulate and select null distributions on empirical gene-gene correlations |
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Diverse Clustering Ensemble |
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Cluster-based Similarity Partitioning Algorithm (CSPA) |
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K-modes |
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Majority voting |
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Linkage Clustering Ensemble |
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Latent Class Analysis |
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Proportion of Ambiguous Clustering |
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Similarity Matrices |
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Compactness Measure |
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Prepare data for consensus clustering |
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Relabel classes to a standard |
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Minimize Frobenius norm for between two matrices |
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Significant Testing of Clustering Results |
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Data |
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Gene expression data for High Grade Serous Carcinoma from TCGA |
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Package Documentation |
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diceR: Diverse Cluster Ensemble in R |