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#######################################################################
# rEMM - Extensible Markov Model (EMM) for Data Stream Clustering in R
# Copyright (C) 2011 Michael Hahsler
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
## add Euclidean Squared Distance
.onLoad <- function(libname, pkgname) {
if (!pr_DB$entry_exists("Euclidean2"))
pr_DB$set_entry(
names = c("Euclidean2"),
FUN = function(x, y)
dist(x, y) ^ 2,
PREFUN = NA,
POSTFUN = NA,
convert = pr_dist2simil,
type = "metric",
loop = FALSE,
C_FUN = FALSE,
abcd = FALSE,
description = "Euclidean Squared Distance."
)
}
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