btree {clustering} R Documentation

do clustering via binary tree

Description

Usage

btree(d,
    equals = 0.9,
    gt = 0.7,
    as.hclust = FALSE,
    method = SpectrumDotProduct);

Arguments

d

the input dataset

equals

the score threshold that asserts that two vector is equals, then they will assigned to a same tree cluster node. [as double]

gt

the score threshold that asserts that two vector is not the same but similar to other, then we could put the new vector into the right node of current cluster tree node. [as double]

as.hclust

and also converts the tree data as the hclust data model?. [as boolean]

env

[as Environment]

Details

Authors

MLkit

Value

the cluster result could be converts from clr object to R# dataframe object via the as.data.frame function.

clr value class

Examples

[Package clustering version 1.0.0.0 Index]