jmotif (version 1.3.2)

manyseries_to_wordbag: Converts a set of time-series into a single bag of words.

Description

Converts a set of time-series into a single bag of words.

Usage

manyseries_to_wordbag(data, w_size, paa_size, a_size, nr_strategy, n_threshold)

Arguments

data

the timeseries data, row-wise.

w_size

the sliding window size.

paa_size

the PAA size.

a_size

the alphabet size.

nr_strategy

the NR strategy.

n_threshold

the normalization threshold.

References

Senin Pavel and Malinchik Sergey, SAX-VSM: Interpretable Time Series Classification Using SAX and Vector Space Model. Data Mining (ICDM), 2013 IEEE 13th International Conference on, pp.1175,1180, 7-10 Dec. 2013.

Salton, G., Wong, A., Yang., C., A vector space model for automatic indexing. Commun. ACM 18, 11, 613-620, 1975.

Examples

data(CBF)
train <- CBF[["data_train"]]
manyseries_to_wordbag(train[CBF[["labels_train"]] == 1, ], 60, 6, 6, "exact", 0.01)