sumppdist | R Documentation |
Determine the Euclidean distance based TT-p-distances (or RTT-p-distances) between
a single point pattern zeta
and each point pattern in a list pplist
. Then
compute the sum of q-th powers of these distances.
sumppdist( zeta, pplist, penalty = 1, type = c("tt", "rtt", "TT", "RTT"), p = 1, q = 1 )
zeta |
an object of class |
pplist |
an object of class |
penalty |
a positive number. The penalty for adding/deleting points. |
type |
either |
p |
a number >0. Matchings between |
q |
a number >0. |
The main purpose of this function is to evaluate the relative performance of approximate q-th order barycenters of point patterns. A true q-th order barycenter of the point patterns xi_1, ..., xi_k with respect to the TT-p metric tau_p minimizes
sum_{j=1}^k tau_p(xi_j, zeta)^q
in zeta.
The most common choices are p = q = 1
and p = q = 2
. Other
choices have not been tested.
A nonnegative number, the q
-th order sum of the TT-p- or RTT-p-distances
between zeta
and each pattern in pplist
. This number has an attribute
distances
that contains the individual distances.
Dominic Schuhmacher schuhmacher@math.uni-goettingen.de
ppdist
for computation of TT-p- and RTT-p-metrics,
kmeansbary
for finding a local minimum of the above sum for p = q = 2
# See the examples for kmeansbary
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