euclidean: Euclidean distance

In Morphonodepredictivemodel/morphonode: The Morphonode Predictive Model for ultrasound signatures detection and malignancy prediction in vulvar cancer

Euclidean distance

Description

Compute the euclidean distance between two vectors.

Usage

euclidean(x, y, ...)

Arguments

x	A numeric vector.
y	A numeric vector.
...	Currently ignored.

Value

A numeric value corresponding to the euclidean distrance.

Author(s)

Fernando Palluzzi [e-mail]

See Also

similarity, jaccard

Examples

# Sample two random ultrasound profiles from the default dataset
x <- mosaic::sample(mpm.us, 1, replace = FALSE, prob = NULL)
x <- as.matrix(x[, 2:15])
y <- mosaic::sample(mpm.us, 1, replace = FALSE, prob = NULL)
y <- as.matrix(y[, 2:15])

# Compute the euclidean distance
d <- euclidean(x, y)
print(d)

Morphonodepredictivemodel/morphonode documentation built on Feb. 15, 2023, 4:51 a.m.