qkdbscan-class {qkerntool} | R Documentation |
The qkernel-DBSCAN class.
Objects can be created by calls of the form new("qkdbscan", ...)
.
or by calling the qkdbscan
function.
clust
:Object of class "vector"
containing the
cluster membership of the samples
eps
:Object of class "numeric"
containing the
reachability distance
MinPts
:Object of class "numeric"
containing the
reachability minimum number of points
isseed
:Object of class "logical"
containing the logical vector indicating
whether a point is a seed (not border, not noise)
signature(object = "qkdbscan")
: returns the cluster membership
signature(object = "qkdbscan")
: returns the performed call
signature(object = "qkdbscan")
: returns the used kernel function
signature(object = "qkdbscan")
: returns the reachability distance
signature(object = "qkdbscan")
: returns the reachability minimum number of points
signature(object = "qkdbscan")
: embeds new data
signature(object = "qkdbscan")
: returns the used data matrix
Yusen Zhang
yusenzhang@126.com
qkernel-class
,
cndkernel-class
# a simple example using the iris data
x<- as.matrix(iris[,-5])
ds <- qkdbscan (x,kernel="laplbase",qpar=list(sigma=3.5,q=0.8),eps=0.15,
MinPts=5,hybrid = FALSE)
# print the results
clust(ds)
eps(ds)
MinPts(ds)
cndkernf(ds)
xmatrix(ds)
kcall(ds)