Examples of weka.classifiers.lazy.IBk

weka.classifiers.lazy.IBk

K-nearest neighbours classifier. Can select appropriate value of K based on cross-validation. Can also do distance weighting.

For more information, see

D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

BibTeX:

 @article{Aha1991, author = {D. Aha and D. Kibler}, journal = {Machine Learning}, pages = {37-66}, title = {Instance-based learning algorithms}, volume = {6}, year = {1991} }

Valid options are:

 -I Weight neighbours by the inverse of their distance (use when k > 1)

 -F Weight neighbours by 1 - their distance (use when k > 1)

 -K <number of neighbors> Number of nearest neighbours (k) used in classification. (Default = 1)

 -E Minimise mean squared error rather than mean absolute error when using -X option with numeric prediction.

 -W <window size> Maximum number of training instances maintained. Training instances are dropped FIFO. (Default = no window)

 -X Select the number of nearest neighbours between 1 and the k value specified using hold-one-out evaluation on the training data (use when k > 1)

 -A The nearest neighbour search algorithm to use (default: weka.core.neighboursearch.LinearNNSearch).

@author Stuart Inglis (singlis@cs.waikato.ac.nz) @author Len Trigg (trigg@cs.waikato.ac.nz) @author Eibe Frank (eibe@cs.waikato.ac.nz) @version $Revision: 6573 $

      insertIntoTable(inst, null);
    }


    // Replace the global table majority with nearest neighbour?
    if (m_useIBk) {
      m_ibk = new IBk();
      m_ibk.buildClassifier(m_theInstances);
    }


    // Save memory
    if (m_saveMemory) {

      insertIntoTable(inst, null);
    }


    // Replace the global table majority with nearest neighbour?
    if (m_useIBk) {
      m_ibk = new IBk();
      m_ibk.buildClassifier(m_theInstances);
    }


    // Save memory
    if (m_saveMemory) {

      insertIntoTable(inst, null);
    }


    // Replace the global table majority with nearest neighbour?
    if (m_useIBk) {
      m_ibk = new IBk();
      m_ibk.buildClassifier(m_theInstances);
    }


    // Save memory
    if (m_saveMemory) {

Examples of weka.classifiers.lazy.IBk

Related Classes of weka.classifiers.lazy.IBk