hmo_mp: Motif discovery using Matrix Profile
In harbinger: A Unified Time Series Event Detection Framework

hmo_mp

R Documentation

Motif discovery using Matrix Profile

Description

Motif discovery using Matrix Profile doi:10.32614/RJ-2020-021

Usage

hmo_mp(mode = "stamp", w, qtd)

Arguments

`mode`	mode of computing distance between sequences. Available options include: "stomp", "stamp", "simple", "mstomp", "scrimp", "valmod", "pmp"
`w`	word size
`qtd`	number of occurrences to be classified as motifs

Value

hmo_mp object

Examples

library(daltoolbox)

#loading the example database
data(examples_motifs)

#Using sequence example
dataset <- examples_motifs$simple
head(dataset)

# setting up motif discovery method
model <- hmo_mp("stamp", 4, 3)

# fitting the model
model <- fit(model, dataset$serie)

detection <- detect(model, dataset$serie)

# filtering detected events
print(detection[(detection$event),])

harbinger documentation built on June 22, 2024, 7:38 p.m.