Nothing
#' geocmeans: A package implementing methods for spatially constrained c-means
#' algorithm
#'
#' The geocmeans package implements a modified c-means algorithm more suited to
#' work with spatial data (characterized by spatial autocorrelation). The
#' spatial information is introduced with a spatial weight matrix W (n * n)
#' where wij indicate the strength of the spatial relationship between the
#' observations i and j. It is recommended to use a matrix standardized by row
#' (so that the sum of each row is 1). More specifically, the spatial c-means
#' combine the euclidean distance of each observation in the data matrix X to
#' each center with the euclidean distance of the lagged version of X by W (WX).
#' A parameter alpha controls for the weight of the lagged matrix. If
#' alpha = 0, then the spatial c-means is equal to a classical c-means. If alpha
#' = 1, then the weights given to X and WX are equals. If alpha = 2, then the
#' weight of WX is twice the one of X and so on.
#' Several indices are provided to assess the quality of a classification on the
#' semantic and spatial dimensions. To explore results, a shiny app is also
#' available
#'
#'
#' @docType package
#' @name geocmeans
#' @keywords internal
NULL
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.