/******************************************************************************* * 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.projection; /** * A projection is a kind of feature extraction technique that transforms data * from the input space to a feature space, linearly or nonlinearly. Often, * projections are used to reduce dimensionality, for example PCA and random * projection. However, kernel-based methods, e.g. Kernel PCA, can actually map * the data into a much higher dimensional space. * * @author Haifeng Li */ public interface Projection<T> { /** * Project a data point to the feature space. */ public double[] project(T x); /** * Project a set of data toe the feature space. */ public double[][] project(T[] x); }