diff --git a/R/cec.R b/R/cec.R index f1ad3ff..eaf9996 100644 --- a/R/cec.R +++ b/R/cec.R @@ -128,7 +128,7 @@ #' implementations of \emph{\strong{H}} have been proposed (expressed as a type #' - model - of the clustering): #' -#' \itemize{ +#' \describe{ #' \item{"all": }{All Gaussian densities. Data will form ellipsoids with #' arbitrary radiuses.} #' \item{"covariance": }{Gaussian densities with a fixed given covariance. The diff --git a/R/init.centers.R b/R/init.centers.R index b36cf89..c6d492e 100644 --- a/R/init.centers.R +++ b/R/init.centers.R @@ -11,9 +11,8 @@ #' #' @param method A character string indicating the initialization method to use. #' It can take the following values: -#' \itemize{ -#' \item{"kmeans++": }{the centers are selected using the k-means++ algorithm. -#' } +#' \describe{ +#' \item{"kmeans++": }{the centers are selected using the k-means++ algorithm.} #' \item{"random": }{the centers are randomly selected among the values in #' \code{x}} #' } diff --git a/man/cec.Rd b/man/cec.Rd index 3330ebe..3da7ba3 100644 --- a/man/cec.Rd +++ b/man/cec.Rd @@ -160,7 +160,7 @@ Cross-Entropy Clustering (CEC) aims to partition \emph{m} points implementations of \emph{\strong{H}} have been proposed (expressed as a type - model - of the clustering): - \itemize{ + \describe{ \item{"all": }{All Gaussian densities. Data will form ellipsoids with arbitrary radiuses.} \item{"covariance": }{Gaussian densities with a fixed given covariance. The diff --git a/man/init.centers.Rd b/man/init.centers.Rd index 4f2e8ec..2efbeb7 100644 --- a/man/init.centers.Rd +++ b/man/init.centers.Rd @@ -15,9 +15,8 @@ must not contain \code{NA} values.} \item{method}{A character string indicating the initialization method to use. It can take the following values: -\itemize{ - \item{"kmeans++": }{the centers are selected using the k-means++ algorithm. - } +\describe{ + \item{"kmeans++": }{the centers are selected using the k-means++ algorithm.} \item{"random": }{the centers are randomly selected among the values in \code{x}} }}