ucred_vv {rucrdtw}

UCR ED Algorithm vector-vector method

Description

Sliding-window similarity search using Euclidean Distance. This implementation of the UCR Suite Euclidean Distance command line utility takes an R numeric vector as data input and an R numeric vector for the query.

Usage

ucred_vv(data, query, skip = FALSE)

Arguments

data

numeric vector containing data

query

numeric vector containing query

skip

bool defaults to TRUE. If TRUE bound calculations and if necessary, distance calculations, are only performed on non-overlapping segments of the data (i.e. multiples of length(query)). This is useful if data is a set of multiple reference time series, each of length length(query). The location returned when skipping is the index of the subsequence.

Value

a ucred object. A list with the following elements

• location: The starting location of the nearest neighbor of the given query, of size length(query), in the data. Note that location starts from 1.

• distance: The Euclidean Distance between the nearest neighbor and the query.

Examples

#read example file into vector
dataf <- scan(system.file("extdata/col_sc.txt", package="rucrdtw"))
#read example query file into vector
query <- scan(system.file("extdata/mid_sc.txt", package="rucrdtw"))
#run query
ucred_vv(dataf, query)