[Vegan-commits] r465 - pkg/man
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Mon Aug 11 10:56:16 CEST 2008
Author: jarioksa
Date: 2008-08-11 10:56:16 +0200 (Mon, 11 Aug 2008)
New Revision: 465
Modified:
pkg/man/cascadeKM.Rd
Log:
cascadeKM doc update (Pierre Legendre through email)
Modified: pkg/man/cascadeKM.Rd
===================================================================
--- pkg/man/cascadeKM.Rd 2008-08-11 07:05:34 UTC (rev 464)
+++ pkg/man/cascadeKM.Rd 2008-08-11 08:56:16 UTC (rev 465)
@@ -68,7 +68,8 @@
The default value is \code{"calinski"}, which refers to the well-known
Calinski-Harabasz (1974) criterion. The other available index is the
- simple structure index \code{"ssi"}. In the case of groups of equal
+ simple structure index \code{"ssi"} (Dolnicar et al. 1999).
+ In the case of groups of equal
sizes, \code{"calinski"} is generally a good criterion to indicate the
correct number of groups. Users should not take its indications
literally when the groups are not equal in size. Type \code{"all"} to
@@ -82,13 +83,10 @@
is simply an \eqn{F} (ANOVA) statistic.
\item \bold{ssi}:
- this "Simple Structure Index"
- combines three elements which influence the interpretability of a
- solution, i.e., the maximum difference of each variable between the
- clusters, the sizes of the most contrasting clusters and the
- deviation of a variable in the cluster centers compared to its
- overall mean. These three elements are multiplicatively combined and
- normalized to give a value between \eqn{0} and \eqn{1}.
+ the \dQuote{Simple Structure Index} multiplicatively combines
+ several elements which influence the interpretability of a
+ partitioning solution. The best partition is indicated by the
+ highest SSI value.
}
In a simulation study, Milligan and Cooper (1985) found
@@ -148,6 +146,12 @@
Calinski, T. and J. Harabasz. 1974. A dendrite method for cluster
analysis. \emph{Commun. Stat.} \strong{3}: 1-27.
+
+ Dolnicar, S., K. Grabler and J. A. Mazanec. 1999. A tale of three
+ cities: perceptual charting for analyzing destination images. Pp.
+ 39-62 in: Woodside, A. et al. [eds.] \emph{Consumer psychology of
+ tourism, hospitality and leisure}. CAB International, New York.
+
Gower, J. C. 1966. Some distance properties of latent root and vector
methods used in multivariate analysis. \emph{Biometrika} \strong{53}:
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