Print CBASS Results

Prints a brief descripton of a fitted CBASS object.

# S3 method for CBASS
print(x, ...)

# S3 method for CBASS
as.dendrogram(object, ..., type = c("row", "col"))

# S3 method for CBASS
as.hclust(x, ..., type = c("row", "col"))

Arguments

x	an object of class CARP as returned by CARP
...	Additional unused arguments
object	an object of class CARP as returned by CARP
type	Either "row" or "col", indicating whether the row or column dendrogram should be returned.

Details

The as.dendrogram and as.hclust methods convert the CBASS output to an object of class dendrogram or hclust respectively.

Examples

cbass_fit <- CBASS(X=presidential_speech)
#> Pre-computing column weights and edge sets
#> Pre-computing row weights and edge sets
#> Computing Convex Bi-Clustering [CBASS] Path
#> Post-processing rows
#> Post-processing columns
print(cbass_fit)
#> CBASS Fit Summary
#> ====================
#> 
#> Algorithm: CBASS (t = 1.01) 
#> Fit Time: 4.167 secs 
#> Total Time: 6.795 secs 
#> 
#> Number of Rows: 44 
#> Number of Columns: 75 
#> 
#> Pre-processing options:
#>  - Global centering: TRUE 
#> 
#> Row Weights:
#>  - Source: Radial Basis Function Kernel Weights
#>  - Distance Metric: Euclidean
#>  - Scale parameter (phi): 0.01 [Data-Driven]
#>  - Sparsified: 4 Nearest Neighbors [Data-Driven]
#> 
#> Column Weights:
#>  - Source: Radial Basis Function Kernel Weights
#>  - Distance Metric: Euclidean
#>  - Scale parameter (phi): 0.01 [Data-Driven]
#>  - Sparsified: 2 Nearest Neighbors [Data-Driven]
#>