weka.filters.unsupervised.attribute

## Class PrincipalComponents

- java.lang.Object
- - weka.filters.Filter
  - - weka.filters.unsupervised.attribute.PrincipalComponents

- All Implemented Interfaces:
    java.io.Serializable, CapabilitiesHandler, CapabilitiesIgnorer, OptionHandler, RevisionHandler, UnsupervisedFilter

      public class PrincipalComponents
      extends Filter
      implements OptionHandler, UnsupervisedFilter

  Performs a principal components analysis and transformation of the data.
  Dimensionality reduction is accomplished by choosing enough eigenvectors to account for some percentage of the variance in the original data -- default 0.95 (95%).
  Based on code of the attribute selection scheme 'PrincipalComponents' by Mark Hall and Gabi Schmidberger.

  Valid options are:

       -C
        Center (rather than standardize) the
        data and compute PCA using the covariance (rather
         than the correlation) matrix.

       -R <num>
        Retain enough PC attributes to account
        for this proportion of variance in the original data.
        (default: 0.95)

       -A <num>
        Maximum number of attributes to include in
        transformed attribute names.
        (-1 = include all, default: 5)

       -M <num>
        Maximum number of PC attributes to retain.
        (-1 = include all, default: -1)

  Version:
    $Revision: 10215 $
  Author:
    Mark Hall (mhall@cs.waikato.ac.nz) -- attribute selection code, Gabi Schmidberger (gabi@cs.waikato.ac.nz) -- attribute selection code, fracpete (fracpete at waikato dot ac dot nz) -- filter code
  See Also:
    Serialized Form

- - ### Constructor Summary

    Constructors
    Constructor and Description
    `PrincipalComponents()`

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `boolean` | `batchFinished()` Signify that this batch of input to the filter is finished.
    `java.lang.String` | `centerDataTipText()` Returns the tip text for this property
    `Capabilities` | `getCapabilities()` Returns the capabilities of this evaluator.
    `boolean` | `getCenterData()` Get whether to center (rather than standardize) the data.
    `int` | `getMaximumAttributeNames()` Gets maximum number of attributes to include in transformed attribute names.
    `int` | `getMaximumAttributes()` Gets maximum number of PC attributes to retain.
    `java.lang.String[]` | `getOptions()` Gets the current settings of the filter.
    `java.lang.String` | `getRevision()` Returns the revision string.
    `double` | `getVarianceCovered()` Gets the proportion of total variance to account for when retaining principal components.
    `java.lang.String` | `globalInfo()` Returns a string describing this filter.
    `boolean` | `input(Instance instance)` Input an instance for filtering.
    `java.util.Enumeration<Option>` | `listOptions()` Returns an enumeration describing the available options.
    `static void` | `main(java.lang.String[] args)` Main method for running this filter.
    `java.lang.String` | `maximumAttributeNamesTipText()` Returns the tip text for this property.
    `java.lang.String` | `maximumAttributesTipText()` Returns the tip text for this property.
    `void` | `setCenterData(boolean center)` Set whether to center (rather than standardize) the data.
    `boolean` | `setInputFormat(Instances instanceInfo)` Sets the format of the input instances.
    `void` | `setMaximumAttributeNames(int value)` Sets maximum number of attributes to include in transformed attribute names.
    `void` | `setMaximumAttributes(int value)` Sets maximum number of PC attributes to retain.
    `void` | `setOptions(java.lang.String[] options)` Parses a list of options for this object.
    `void` | `setVarianceCovered(double value)` Sets the amount of variance to account for when retaining principal components.
    `java.lang.String` | `varianceCoveredTipText()` Returns the tip text for this property.

    - ### Methods inherited from class weka.filters.Filter

      `batchFilterFile, debugTipText, doNotCheckCapabilitiesTipText, filterFile, getCapabilities, getDebug, getDoNotCheckCapabilities, getOutputFormat, isFirstBatchDone, isNewBatch, isOutputFormatDefined, makeCopies, makeCopy, mayRemoveInstanceAfterFirstBatchDone, numPendingOutput, output, outputPeek, runFilter, setDebug, setDoNotCheckCapabilities, toString, useFilter, wekaStaticWrapper`

    - ### Methods inherited from class java.lang.Object

      `equals, getClass, hashCode, notify, notifyAll, wait, wait, wait`

- - ### Constructor Detail

    - #### PrincipalComponents

          public PrincipalComponents()

  - ### Method Detail

    - #### globalInfo

          public java.lang.String globalInfo()

      Returns a string describing this filter.
      Returns:
        a description of the filter suitable for displaying in the explorer/experimenter gui

    - #### listOptions

          public java.util.Enumeration<Option> listOptions()

      Returns an enumeration describing the available options.
      Specified by:
        `listOptions` in interface `OptionHandler`
      Overrides:
        `listOptions` in class `Filter`
      Returns:
        an enumeration of all the available options.

    - #### setOptions

          public void setOptions(java.lang.String[] options)
                          throws java.lang.Exception

      Parses a list of options for this object.

      Valid options are:

           -C
            Center (rather than standardize) the
            data and compute PCA using the covariance (rather
             than the correlation) matrix.

           -R <num>
            Retain enough PC attributes to account
            for this proportion of variance in the original data.
            (default: 0.95)

           -A <num>
            Maximum number of attributes to include in
            transformed attribute names.
            (-1 = include all, default: 5)

           -M <num>
            Maximum number of PC attributes to retain.
            (-1 = include all, default: -1)

      Specified by:
        `setOptions` in interface `OptionHandler`
      Overrides:
        `setOptions` in class `Filter`
      Parameters:
        `options` - the list of options as an array of strings
      Throws:
        `java.lang.Exception` - if an option is not supported

    - #### getOptions

          public java.lang.String[] getOptions()

      Gets the current settings of the filter.
      Specified by:
        `getOptions` in interface `OptionHandler`
      Overrides:
        `getOptions` in class `Filter`
      Returns:
        an array of strings suitable for passing to setOptions

    - #### centerDataTipText

          public java.lang.String centerDataTipText()

      Returns the tip text for this property
      Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

    - #### setCenterData

          public void setCenterData(boolean center)

      Set whether to center (rather than standardize) the data. If set to true then PCA is computed from the covariance rather than correlation matrix.
      Parameters:
        `center` - true if the data is to be centered rather than standardized

    - #### getCenterData

          public boolean getCenterData()

      Get whether to center (rather than standardize) the data. If true then PCA is computed from the covariance rather than correlation matrix.
      Returns:
        true if the data is to be centered rather than standardized.

    - #### varianceCoveredTipText

          public java.lang.String varianceCoveredTipText()

      Returns the tip text for this property.
      Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

    - #### setVarianceCovered

          public void setVarianceCovered(double value)

      Sets the amount of variance to account for when retaining principal components.
      Parameters:
        `value` - the proportion of total variance to account for

    - #### getVarianceCovered

          public double getVarianceCovered()

      Gets the proportion of total variance to account for when retaining principal components.
      Returns:
        the proportion of variance to account for

    - #### maximumAttributeNamesTipText

          public java.lang.String maximumAttributeNamesTipText()

      Returns the tip text for this property.
      Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

    - #### setMaximumAttributeNames

          public void setMaximumAttributeNames(int value)

      Sets maximum number of attributes to include in transformed attribute names.
      Parameters:
        `value` - the maximum number of attributes

    - #### getMaximumAttributeNames

          public int getMaximumAttributeNames()

      Gets maximum number of attributes to include in transformed attribute names.
      Returns:
        the maximum number of attributes

    - #### maximumAttributesTipText

          public java.lang.String maximumAttributesTipText()

      Returns the tip text for this property.
      Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

    - #### setMaximumAttributes

          public void setMaximumAttributes(int value)

      Sets maximum number of PC attributes to retain.
      Parameters:
        `value` - the maximum number of attributes

    - #### getMaximumAttributes

          public int getMaximumAttributes()

      Gets maximum number of PC attributes to retain.
      Returns:
        the maximum number of attributes

    - #### getCapabilities

          public Capabilities getCapabilities()

      Returns the capabilities of this evaluator.
      Specified by:
        `getCapabilities` in interface `CapabilitiesHandler`
      Overrides:
        `getCapabilities` in class `Filter`
      Returns:
        the capabilities of this evaluator
      See Also:
        `Capabilities`

    - #### setInputFormat

          public boolean setInputFormat(Instances instanceInfo)
                                 throws java.lang.Exception

      Sets the format of the input instances.
      Overrides:
        `setInputFormat` in class `Filter`
      Parameters:
        `instanceInfo` - an Instances object containing the input instance structure (any instances contained in the object are ignored - only the structure is required).
      Returns:
        true if the outputFormat may be collected immediately
      Throws:
        `java.lang.Exception` - if the input format can't be set successfully

    - #### input

          public boolean input(Instance instance)
                        throws java.lang.Exception

      Input an instance for filtering. Filter requires all training instances be read before producing output.
      Overrides:
        `input` in class `Filter`
      Parameters:
        `instance` - the input instance
      Returns:
        true if the filtered instance may now be collected with output().
      Throws:
        `java.lang.IllegalStateException` - if no input format has been set
        `java.lang.Exception` - if conversion fails

    - #### batchFinished

          public boolean batchFinished()
                                throws java.lang.Exception

      Signify that this batch of input to the filter is finished.
      Overrides:
        `batchFinished` in class `Filter`
      Returns:
        true if there are instances pending output
      Throws:
        `java.lang.NullPointerException` - if no input structure has been defined,
        `java.lang.Exception` - if there was a problem finishing the batch.

    - #### getRevision

          public java.lang.String getRevision()

      Returns the revision string.
      Specified by:
        `getRevision` in interface `RevisionHandler`
      Overrides:
        `getRevision` in class `Filter`
      Returns:
        the revision

    - #### main

          public static void main(java.lang.String[] args)

      Main method for running this filter.
      Parameters:
        `args` - should contain arguments to the filter: use -h for help