| Classes in this File | Line Coverage | Branch Coverage | Complexity | ||||
| UnsupervisedSubsetEvaluator |
|
| 1.0;1 |
| 1 | /* | |
| 2 | * This program is free software: you can redistribute it and/or modify | |
| 3 | * it under the terms of the GNU General Public License as published by | |
| 4 | * the Free Software Foundation, either version 3 of the License, or | |
| 5 | * (at your option) any later version. | |
| 6 | * | |
| 7 | * This program is distributed in the hope that it will be useful, | |
| 8 | * but WITHOUT ANY WARRANTY; without even the implied warranty of | |
| 9 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | |
| 10 | * GNU General Public License for more details. | |
| 11 | * | |
| 12 | * You should have received a copy of the GNU General Public License | |
| 13 | * along with this program. If not, see <http://www.gnu.org/licenses/>. | |
| 14 | */ | |
| 15 | ||
| 16 | /* | |
| 17 | * UnsupervisedSubsetEvaluator.java | |
| 18 | * Copyright (C) 1999-2012 University of Waikato, Hamilton, New Zealand | |
| 19 | * | |
| 20 | */ | |
| 21 | ||
| 22 | package weka.attributeSelection; | |
| 23 | ||
| 24 | import weka.clusterers.Clusterer; | |
| 25 | ||
| 26 | /** | |
| 27 | * Abstract unsupervised attribute subset evaluator. | |
| 28 | * | |
| 29 | * @author Mark Hall (mhall@cs.waikato.ac.nz) | |
| 30 | * @version $Revision: 8034 $ | |
| 31 | */ | |
| 32 | 0 | public abstract class UnsupervisedSubsetEvaluator |
| 33 | extends ASEvaluation | |
| 34 | implements SubsetEvaluator { | |
| 35 | ||
| 36 | /** for serialization */ | |
| 37 | static final long serialVersionUID = 627934376267488763L; | |
| 38 | ||
| 39 | /** | |
| 40 | * Return the number of clusters used by the subset evaluator | |
| 41 | * | |
| 42 | * @return the number of clusters used | |
| 43 | * @exception Exception if an error occurs | |
| 44 | */ | |
| 45 | public abstract int getNumClusters() throws Exception; | |
| 46 | ||
| 47 | /** | |
| 48 | * Get the clusterer | |
| 49 | * | |
| 50 | * @return the clusterer | |
| 51 | */ | |
| 52 | public abstract Clusterer getClusterer(); | |
| 53 | ||
| 54 | /** | |
| 55 | * Set the clusterer to use | |
| 56 | * | |
| 57 | * @param d the clusterer to use | |
| 58 | */ | |
| 59 | public abstract void setClusterer(Clusterer d); | |
| 60 | } |