clusterEntropy {coseq} | R Documentation

## Calculation of per-cluster entropy

### Description

Provides the calculation of per-cluster entropy, equivalent to

Entropy(k) = ∑_{i \in C_k} \log (τ_{ik})

where τ_{ik} is the conditional probability of gene i belonging to cluster k and C_k corresponds to the set of indices of genes attributed to cluster k.

### Usage

    clusterEntropy(probaPost)

### Arguments

`probaPost` | Matrix containing the conditional probabilities of belonging to each cluster for all observations

### Value

Entropy per cluster

### Author(s)

Cathy Maugis-Rabusseau

### Examples

    ## Generate artificial matrix of conditional probabilities for K=5 clusters
    tmp <- matrix(runif(100*5), nrow=100, ncol=5)
    probaPost <- tmp / rowSums(tmp)
    clusterEntropy(probaPost)

[Package coseq version 1.16.0 Index]