dist2: Pairwise Euclidean distances

In pfruan/abSNF: Using Association Signal Annotations to boost Similarity Network Fusion

Pairwise Euclidean distances

Description

Computes the Euclidean distances between all pairs of data point given

Usage

dist2(X, C)

Arguments

X	A data matrix where each row is a different data point
C	A data matrix where each row is a different data point. If this matrix is the same as X, pairwise distances for all data points are computed.

Value

Returns an N x M matrix where N is the number of rows in X and M is the number of rows in M. element (n,m) is the squared Euclidean distance between nth data point in X and mth data point in C

Examples

#load data
data(data1)
data(data2)

# Calculate distance matrices(here we calculate Euclidean Distance, 
Dist1 = dist2(as.matrix(data1), as.matrix(data1))
Dist2 = dist2(as.matrix(data2), as.matrix(data2))

pfruan/abSNF documentation built on Sept. 16, 2022, 5:40 a.m.