/* * Apache License * Version 2.0, January 2004 * http://www.apache.org/licenses/ * * Copyright 2013 Aurelian Tutuianu * Copyright 2014 Aurelian Tutuianu * Copyright 2015 Aurelian Tutuianu * Copyright 2016 Aurelian Tutuianu * * Licensed 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 rapaio.ml.common.distance; import rapaio.data.Frame; import rapaio.util.Tag; import java.io.Serializable; /** * Distance interface * <p> * Created by <a href="mailto:padreati@yahoo.com">Aurelian Tutuianu</a> on 9/23/15. */ public interface Distance extends Serializable { double distance(Frame s, int sRow, Frame t, int tRow, String... varNames); Tag<Distance> EUCLIDEAN = Tag.valueOf("euclidean", (Frame s, int sRow, Frame t, int tRow, String... varNames) -> { double total = 0; for (String varName : varNames) { if (s.missing(sRow) || t.missing(tRow)) continue; total += Math.pow(s.value(sRow, varName) - t.value(tRow, varName), 2); } return Math.sqrt(total); }); }