STSADatasetAdjust

Adjust a Dataset
Adjust the dimensions of a dataset to build the blocks

Allow to identify motifs in spatial-time series. A motif is a previously unknown subsequence of a (spatial) time series with relevant number of occurrences. For this purpose, the Combined Series Approach (CSA) is used.

Amin Bazaz

STMotif

Discovery of Motifs in Spatial-Time Series

Heraldo Borges

Esther Pacciti

Eduardo Ogasawara

STSADatasetAdjust function

<dl><dt>D</dt>
<dd>Dataset containing numeric values</dd>
<dt>tb</dt>
<dd>Temporal block size</dd>
<dt>sb</dt>
<dd>Spatial block size</dd></dl>

Arguments

Adjust a Dataset
Adjust the dimensions of a dataset to build the blocks — STSADatasetAdjust

<dl>

<dt>D</dt>
<dd>Dataset containing numeric values</dd>


<dt>tb</dt>
<dd>Temporal block size</dd>


<dt>sb</dt>
<dd>Spatial block size</dd>

</dl>

STSADatasetAdjust: Adjust a Dataset Adjust the dimensions of a dataset to build the blocks

Description

Usage

Value

Arguments

Examples