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Calculates the regularized center values for a cluster. This function
runs inside sparse_mdc
.
mu_solver(d, mu, v, EQ, dim, x, nk, p1, p2, delta)
- The current condition.
- A matrix of regularized mean values.
- Relationship matrix, describing relationship between d-1 and d.
- Equality matrix specifying the number of following terms to which mu_d is equal.
- Total dimensions.
- Matrix of mean values.
- Vector with the number of samples in each condition for this cluster.
- Penalties on mean size.
- Penalties on mean difference.
Small term to ensure existance of solution.
A matrix containing the regularized cluster means for each dimension.