1 files changed, 0 insertions, 77 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/datasource/filter/normalization/TFIDFNormalization.java b/src/de/lmu/ifi/dbs/elki/datasource/filter/normalization/TFIDFNormalization.java
deleted file mode 100644
index 09b73aa4..00000000
--- a/src/de/lmu/ifi/dbs/elki/datasource/filter/normalization/TFIDFNormalization.java
+++ /dev/null
@@ -1,77 +0,0 @@
-package de.lmu.ifi.dbs.elki.datasource.filter.normalization;
-
-/*
- 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 gnu.trove.map.hash.TIntDoubleHashMap;
-import de.lmu.ifi.dbs.elki.data.SparseNumberVector;
-import de.lmu.ifi.dbs.elki.logging.Logging;
-
-/**
- * Perform full TF-IDF Normalization as commonly used in text mining.
- * 
- * Each record is first normalized using "term frequencies" to sum up to 1. Then
- * it is globally normalized using the Inverse Document Frequency, so rare terms
- * are weighted stronger than common terms.
- * 
- * Restore will only undo the IDF part of the normalization!
- * 
- * @author Erich Schubert
- * 
- * @param <V> Vector type
- */
-public class TFIDFNormalization<V extends SparseNumberVector<?>> extends InverseDocumentFrequencyNormalization<V> {
-  /**
-   * Class logger.
-   */
-  private static final Logging LOG = Logging.getLogger(TFIDFNormalization.class);
-
-  /**
-   * Constructor.
-   */
-  public TFIDFNormalization() {
-    super();
-  }
-
-  @Override
-  protected V filterSingleObject(V featureVector) {
-    double sum = 0.0;
-    for(int it = featureVector.iter(); featureVector.iterValid(it); it = featureVector.iterAdvance(it)) {
-      sum += featureVector.iterDoubleValue(it);
-    }
-    if(sum <= 0) {
-      sum = 1.0;
-    }
-    TIntDoubleHashMap vals = new TIntDoubleHashMap();
-    for(int it = featureVector.iter(); featureVector.iterValid(it); it = featureVector.iterAdvance(it)) {
-      final int dim = featureVector.iterDim(it);
-      vals.put(dim, featureVector.iterDoubleValue(it) / sum * idf.get(dim));
-    }
-    return ((SparseNumberVector.Factory<V, ?>) factory).newNumberVector(vals, featureVector.getDimensionality());
-  }
-
-  @Override
-  protected Logging getLogger() {
-    return LOG;
-  }
-}
-\ No newline at end of file