Dissimilarity Matrix Object

Arguments

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.

Description

These are objects of class "dissimilarity" They represent the dissimilarity matrix of a dataset.

GENERATION

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.

METHODS

The "dissimilarity" class has methods for the following generic functions: print.

STRUCTURE

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:

See Also

daisy, dist, pam, clara, fanny, agnes, diana.

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