dissimilarity.object {cluster} | R Documentation |
These are objects of class "dissimilarity" They represent the dissimilarity matrix of a dataset.
Size |
the number of observations in the dataset.
|
Metric |
the metric used for calculating the dissimilarities. Possible values are
"euclidean", "manhattan", "mixed" (if variables of different types were
present in the dataset), and "unspecified".
|
Labels |
optionally, contains the labels, if any, of the observations of the dataset.
|
NA.message |
optionally, if a dissimilarity could not be computed, because of too many
missing values for some observations of the dataset.
|
daisy
returns this class of objects.
Also the functions pam
, clara
, fanny
, agnes
, and diana
return
a dissimilarity
object, as one component of their return objects.
The "dissimilarity"
class has methods for the following generic functions:
print
.
The dissimilarity matrix is symmetric, and hence is represented as a vector to save storage space. For i less than j, the dissimilarity between row i and row j is element nrow(x)*(i-1) - i*(i-1)/2 + j-i of that vector. The length of the vector is nrow(x)*(nrow(x)-1)/2, that is, it is of order nrow(x) squared. The object has the following attributes:
daisy
, dist
, pam
, clara
, fanny
, agnes
, diana
.