find_clusters
From rEMM v1.011
by Michael Hahsler
Find the EMM State/Cluster for an Observation
Finds the cluster and thus the EMM states for observations.
 Keywords
 models
Usage
"find_clusters"(x, newdata, match_cluster=c("exact", "nn"), dist = FALSE)
Arguments
 x
 an
EMM
object.  newdata
 a matrix/data.frame with observations.
 match_cluster
 find exact or nearest neighbor (nn) cluster/state. If a number is supplied then the threshold times this number is used for exact matching.
 dist
 also report the distance to the chosen cluster/state (as a data.frame).
Value

Returns the name of the matching clusters/states or a data.frame with
columns "state" and "dist" if
dist=TRUE
.
See Also
EMM
and tNN
Examples
data("EMMTraffic")
emm < EMM(measure="eJaccard", threshold=0.2)
emm < build(emm, EMMTraffic)
find_clusters(emm, EMMTraffic)
find_clusters(emm, EMMTraffic, dist=TRUE)
## add noise to the data
set.seed(1234)
newdata < sapply(EMMTraffic, jitter, amount=15)
## default is exact match
find_clusters(emm, newdata, dist=TRUE)
## match with nearest neighbor
find_clusters(emm, newdata, match_cluster="nn", dist=TRUE)
## exact match only if within .5 times threshold
find_clusters(emm, newdata, match_cluster=.5, dist=TRUE)
## exact match only if within 2 times threshold
find_clusters(emm, newdata, match_cluster=2, dist=TRUE)
Community examples
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