Apply classification method dependent on init.method

Apply classification method dependent on init.method

mkInitClass(n.g, n.i, n.j, control, y)

Arguments

n.g

Number of clusters

n.i

Number of observations

n.j

Number of columns

control

Classification settings from init.options()

y

Observations

Value

classification vector

Examples

data("faithful")
mkInitClass(2, nrow(faithful), ncol(faithful), init.options(), faithful)
#>   [1] 1 2 1 2 1 2 1 1 2 1 2 1 1 2 1 2 2 1 2 1 2 2 1 2 1 1 2 1 1 1 1 1 1 1 1 2 2
#>  [38] 1 2 1 1 2 1 2 1 1 1 2 1 2 1 1 2 1 2 1 1 2 1 1 2 1 2 1 2 1 1 1 2 1 1 2 1 1
#>  [75] 2 1 2 1 1 1 1 1 1 2 1 1 1 1 2 1 2 1 2 1 2 1 1 1 2 1 2 1 2 1 1 2 1 2 1 1 1
#> [112] 2 1 1 2 1 2 1 2 1 2 1 1 2 1 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 1 2 1 1 1 2 1 2
#> [149] 1 2 1 1 2 1 1 1 1 1 2 1 2 1 2 1 1 1 2 1 2 1 2 2 1 1 1 1 1 2 1 1 2 1 1 1 2
#> [186] 1 1 2 1 2 1 2 1 1 1 1 1 1 2 1 2 1 1 2 1 2 1 1 2 1 2 1 2 1 1 1 2 1 2 1 2 1
#> [223] 2 1 1 1 1 1 1 1 1 2 1 2 1 2 2 1 1 2 1 2 1 1 1 1 2 1 2 1 2 1 1 1 1 1 1 1 2
#> [260] 1 1 1 2 1 2 2 1 1 2 1 2 1