GetKnnRandomProjection: Efficient Knn-search in high-dimensional search (upto 1000...

Description Usage Arguments Value

View source: R/get_knn.R

Description

export

Usage

1
GetKnnRandomProjection(X, num.tree = 50, K)

Arguments

X

A data matrix (columns are features and rows are data points)

num.tree

The number of trees for random projection

K

A integer to specify the number of neighbours in building the Knn graph. Default to K=\log_2(N), where N is the number of data points

Value

A list containg knn.index, knn.dist, the dimensionality D, and the projected trees: tree.index


SamGG/densitycut documentation built on Oct. 30, 2019, 11:48 p.m.