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Diffstat (limited to 'src/de/lmu/ifi/dbs/elki/index/tree/metrical/mtreevariants/strategies/split/MRadSplit.java')
-rw-r--r-- | src/de/lmu/ifi/dbs/elki/index/tree/metrical/mtreevariants/strategies/split/MRadSplit.java | 88 |
1 files changed, 88 insertions, 0 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/index/tree/metrical/mtreevariants/strategies/split/MRadSplit.java b/src/de/lmu/ifi/dbs/elki/index/tree/metrical/mtreevariants/strategies/split/MRadSplit.java new file mode 100644 index 00000000..5de15356 --- /dev/null +++ b/src/de/lmu/ifi/dbs/elki/index/tree/metrical/mtreevariants/strategies/split/MRadSplit.java @@ -0,0 +1,88 @@ +package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split; + +/* + This file is part of ELKI: + Environment for Developing KDD-Applications Supported by Index-Structures + + Copyright (C) 2013 + Ludwig-Maximilians-Universität München + Lehr- und Forschungseinheit für Datenbanksysteme + ELKI Development Team + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU Affero General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU Affero General Public License for more details. + + You should have received a copy of the GNU Affero General Public License + along with this program. If not, see <http://www.gnu.org/licenses/>. + */ + +import de.lmu.ifi.dbs.elki.distance.distancevalue.NumberDistance; +import de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree; +import de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeNode; +import de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeEntry; +import de.lmu.ifi.dbs.elki.utilities.documentation.Reference; + +/** + * Encapsulates the required methods for a split of a node in an M-Tree. The + * routing objects are chosen according to the M_rad strategy. + * + * Reference: + * <p> + * P. Ciaccia, M. Patella, P. Zezula<br /> + * M-tree: An Efficient Access Method for Similarity Search in Metric Spaces<br /> + * In Proceedings of 23rd International Conference on Very Large Data Bases + * (VLDB'97), August 25-29, 1997, Athens, Greece + * </p> + * + * @author Elke Achtert + * + * @param <O> the type of DatabaseObject to be stored in the M-Tree + * @param <D> the type of Distance used in the M-Tree + * @param <N> the type of AbstractMTreeNode used in the M-Tree + * @param <E> the type of MetricalEntry used in the M-Tree + */ +@Reference(authors = "P. Ciaccia, M. Patella, P. Zezula", title = "M-tree: An Efficient Access Method for Similarity Search in Metric Spaces", booktitle = "VLDB'97, Proceedings of 23rd International Conference on Very Large Data Bases, August 25-29, 1997, Athens, Greece", url = "http://www.vldb.org/conf/1997/P426.PDF") +public class MRadSplit<O, D extends NumberDistance<D, ?>, N extends AbstractMTreeNode<O, D, N, E>, E extends MTreeEntry> extends MTreeSplit<O, D, N, E> { + /** + * Creates a new split object. + */ + public MRadSplit() { + super(); + } + + /** + * Selects two objects of the specified node to be promoted and stored into + * the parent node. The m-RAD strategy considers all possible pairs of objects + * and, after partitioning the set of entries, promotes the pair of objects + * for which the sum of covering radiuses is minimum. + * + * @param tree Tree to use + * @param node the node to be split + */ + @Override + public Assignments<E> split(AbstractMTree<O, D, N, E, ?> tree, N node) { + double miSumCR = Double.POSITIVE_INFINITY; + double[] distanceMatrix = computeDistanceMatrix(tree, node); + + Assignments<E> bestAssignment = null; + for (int i = 0; i < node.getNumEntries(); i++) { + for (int j = i + 1; j < node.getNumEntries(); j++) { + Assignments<E> currentAssignments = balancedPartition(tree, node, i, j, distanceMatrix); + + double sumCR = currentAssignments.getFirstCoveringRadius() + currentAssignments.getSecondCoveringRadius(); + if (sumCR < miSumCR) { + miSumCR = sumCR; + bestAssignment = currentAssignments; + } + } + } + return bestAssignment; + } +} |