/******************************************************************************* * Copyright (c) 2010 Haifeng Li * * 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 smile.neighbor; /** * K-nearest neighbor search identifies the top k nearest neighbors to the * query. This technique is commonly used in predictive analytics to * estimate or classify a point based on the consensus of its neighbors. * K-nearest neighbor graphs are graphs in which every point is connected * to its k nearest neighbors. * * @param <K> the type of keys. * @param <V> the type of associated objects. * * @author Haifeng Li */ public interface KNNSearch<K, V> { /** * Search the k nearest neighbors to the query. * * @param q the query key. * @param k the number of nearest neighbors to search for. */ public Neighbor<K,V>[] knn(K q, int k); }