/** * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.apache.mahout.math.hadoop.similarity.cooccurrence.measures; import org.apache.mahout.math.Vector; public class CosineSimilarity implements VectorSimilarityMeasure { @Override public Vector normalize(Vector vector) { return vector.normalize(); } @Override public double norm(Vector vector) { return VectorSimilarityMeasure.NO_NORM; } @Override public double aggregate(double valueA, double nonZeroValueB) { return valueA * nonZeroValueB; } @Override public double similarity(double dots, double normA, double normB, int numberOfColumns) { return dots; } @Override public boolean consider(int numNonZeroEntriesA, int numNonZeroEntriesB, double maxValueA, double maxValueB, double threshold) { return numNonZeroEntriesB >= threshold / maxValueA && numNonZeroEntriesA >= threshold / maxValueB; } }