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 2 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, write to the Free Software |
---|
14 | * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. |
---|
15 | */ |
---|
16 | |
---|
17 | /* |
---|
18 | * DensityBasedClusterer.java |
---|
19 | * Copyright (C) 1999 University of Waikato, Hamilton, New Zealand |
---|
20 | * |
---|
21 | */ |
---|
22 | |
---|
23 | package weka.clusterers; |
---|
24 | |
---|
25 | import weka.core.Instance; |
---|
26 | |
---|
27 | /** |
---|
28 | * Interface for clusterers that can estimate the density for a given instance. |
---|
29 | * Implementations will typically extend AbstractDensityBasedClusterer. |
---|
30 | * |
---|
31 | * @author Mark Hall (mhall@cs.waikato.ac.nz) |
---|
32 | * @author Eibe Frank (eibe@cs.waikato.ac.nz) |
---|
33 | * @version $Revision: 5987 $ |
---|
34 | */ |
---|
35 | public interface DensityBasedClusterer extends Clusterer { |
---|
36 | |
---|
37 | /** |
---|
38 | * Returns the prior probability of each cluster. |
---|
39 | * |
---|
40 | * @return the prior probability for each cluster |
---|
41 | * @exception Exception if priors could not be |
---|
42 | * returned successfully |
---|
43 | */ |
---|
44 | double[] clusterPriors() throws Exception; |
---|
45 | |
---|
46 | /** |
---|
47 | * Computes the log of the conditional density (per cluster) for a given instance. |
---|
48 | * |
---|
49 | * @param instance the instance to compute the density for |
---|
50 | * @return an array containing the estimated densities |
---|
51 | * @exception Exception if the density could not be computed |
---|
52 | * successfully |
---|
53 | */ |
---|
54 | double[] logDensityPerClusterForInstance(Instance instance) throws Exception; |
---|
55 | |
---|
56 | /** |
---|
57 | * Computes the density for a given instance. |
---|
58 | * |
---|
59 | * @param instance the instance to compute the density for |
---|
60 | * @return the density. |
---|
61 | * @exception Exception if the density could not be computed successfully |
---|
62 | */ |
---|
63 | double logDensityForInstance(Instance instance) throws Exception; |
---|
64 | |
---|
65 | /** |
---|
66 | * Returns the logs of the joint densities for a given instance. |
---|
67 | * |
---|
68 | * @param inst the instance |
---|
69 | * @return the array of values |
---|
70 | * @exception Exception if values could not be computed |
---|
71 | */ |
---|
72 | double[] logJointDensitiesForInstance(Instance inst) throws Exception; |
---|
73 | } |
---|