matrix_mutual_reachability_distance: Function that calculates the mutual reachability distance...

In DBCVindex: Calculates the Density-Based Clustering Validation (DBCV) Index

Function that calculates the mutual reachability distance within a matrix

Description

Function that calculates the mutual reachability distance within a matrix

Usage

matrix_mutual_reachability_distance(MinPts, G_edges_weights, d)

Arguments

MinPts	number of minimal points
G_edges_weights	matrix of edges weights
d	number of features

Value

a list of two elements: d_ucore and G_edges_weights:

Examples

 n = 300; noise = 0.05; seed = 1782;
 theta <- seq(0, pi, length.out = n / 2)
 x1 <- cos(theta) + rnorm(n / 2, sd = noise)
 y1 <- sin(theta) + rnorm(n / 2, sd = noise)
 x2 <- cos(theta + pi) + rnorm(n / 2, sd = noise)
 y2 <- sin(theta + pi) + rnorm(n / 2, sd = noise)
 X <- rbind(cbind(x1, y1), cbind(x2, y2))
 y <- c(rep(0, n / 2), rep(1, n / 2))

nfeatures <- ncol(X)
i <- 1
clusters <- unique(y)
objcl <- which(y == clusters[i])
nuobjcl <- length(objcl)

noiseLabel <- -1
distX <- as.matrix(dist(X))^2
distXy <- distX[y != noiseLabel, y != noiseLabel]

mr <- matrix_mutual_reachability_distance(nuobjcl, distXy[objcl, objcl], nfeatures)

DBCVindex documentation built on Aug. 29, 2025, 5:21 p.m.