ZPGaussianSimilarity: Similarity matrix with local scale parameter

In uHMM: Construct an Unsupervised Hidden Markov Model

Description

Compute and return the similarity matrix of a data frame using gaussian kernel with a local scale parameter for each data point, rather than a unique scale parameter.

Usage

ZPGaussianSimilarity(data, K)

Arguments

data	a matrix or numeric data frame.
K	number of neighbours considered to compute scale parameters.

Value

The matrix of similarity.

References

Zelnik-Manor, Lihi, and Pietro Perona. "Self-tuning spectral clustering." Advances in neural information processing systems. 2004.

Examples

x <- rbind(matrix(rnorm(50, mean = 0, sd = 0.3), ncol = 2))
similarity<-ZPGaussianSimilarity(x,7)

uHMM documentation built on May 2, 2019, 9:16 a.m.