Class MultivariateTimeSeriesFilter<V extends elki.data.FeatureVector<?>>

  • Type Parameters:
    V - Vector type
    All Implemented Interfaces:
    elki.datasource.bundle.BundleStreamSource, elki.datasource.filter.ObjectFilter, elki.datasource.filter.StreamFilter

    public class MultivariateTimeSeriesFilter<V extends elki.data.FeatureVector<?>>
    extends AbstractStreamConversionFilter<V,​V>
    Class to "fold" a flat number vector into a multivariate time series.
    Since:
    0.7.0
    Author:
    Erich Schubert
    • Field Detail

      • variates

        int variates
        Number of variates to use.
    • Constructor Detail

      • MultivariateTimeSeriesFilter

        public MultivariateTimeSeriesFilter​(int variates)
        Constructor.
        Parameters:
        variates - Number of variates.
    • Method Detail

      • filterSingleObject

        protected V filterSingleObject​(V obj)
        Description copied from class: AbstractStreamConversionFilter
        Normalize a single instance. You can implement this as UnsupportedOperationException if you override both public "normalize" functions!
        Specified by:
        filterSingleObject in class AbstractStreamConversionFilter<V extends elki.data.FeatureVector<?>,​V extends elki.data.FeatureVector<?>>
        Parameters:
        obj - Database object to normalize
        Returns:
        Normalized database object
      • convertedType

        protected elki.data.type.SimpleTypeInformation<? super V> convertedType​(elki.data.type.SimpleTypeInformation<V> in)
        Description copied from class: AbstractStreamConversionFilter
        Get the output type from the input type after conversion.
        Specified by:
        convertedType in class AbstractStreamConversionFilter<V extends elki.data.FeatureVector<?>,​V extends elki.data.FeatureVector<?>>
        Parameters:
        in - input type restriction
        Returns:
        output type restriction