Home | Develop | Download | Contact
FuncDataSetLoad.hpp
1 /*
2  * FuncDataSetLoad.hpp
3  *
4  * Copyright 2018 Fernando Pujaico Rivera <fernando.pujaico.rivera@gmail.com>
5  *
6  * This program is free software; you can redistribute it and/or modify
7  * it under the terms of the GNU General Public License as published by
8  * the Free Software Foundation; either version 2 of the License, or
9  * (at your option) any later version.
10  *
11  * This program is distributed in the hope that it will be useful,
12  * but WITHOUT ANY WARRANTY; without even the implied warranty of
13  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
14  * GNU General Public License for more details.
15  *
16  * You should have received a copy of the GNU General Public License
17  * along with this program; if not, write to the Free Software
18  * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
19  * MA 02110-1301, USA.
20  *
21  */
22 
30 #ifndef __PDS_FUNCDATASETLOAD_HPP__
31 #define __PDS_FUNCDATASETLOAD_HPP__
32 
33 #include <Pds/Ra>
34 
35 
45 namespace Pds{
46 
51 namespace DataSet{
52 
57 namespace Clustering{
58 
79  void Kcumulus(unsigned int L, Pds::Matrix &X,unsigned int K=3);
84 } // namespace Clustering
85 
90 namespace Regression{
91 
111  void LoadDataLine(unsigned int L, Pds::Matrix &X, Pds::Vector &Y);
112 
143  void LoadDataLineOutlierBall(unsigned int L, Pds::Matrix &X, Pds::Vector &Y, double outlier_percent=5);
144 
145 
176  void LoadDataLineOutlierRand(unsigned int L, Pds::Matrix &X, Pds::Vector &Y, double outlier_percent=5);
177 
202  void LoadDataGaussian(unsigned int L, Pds::Matrix &X, Pds::Vector &Y);
203 
220  void LoadDataCircle(unsigned int L, Pds::Matrix &X, Pds::Vector &Y);
221 
222 
242  void LoadDataFourierSeries(unsigned int L, Pds::Matrix &X, Pds::Vector &Y);
243 
248 } // namespace Regression
249 
250 
255 namespace Classification{
256 
274  void LoadDataLine(unsigned int L, Pds::Matrix &X, Pds::Vector &Y);
275 
288  void LoadDataLine2(unsigned int L, Pds::Matrix &X, Pds::Vector &Y);
289 
290 
312  void LoadDataSine(unsigned int L, Pds::Matrix &X, Pds::Vector &Y);
313 
314 
327  void LoadDataCircle(unsigned int L, Pds::Matrix &X, Pds::Vector &Y);
328 
329 
341  void LoadDataEllipse(unsigned int L, Pds::Matrix &X, Pds::Vector &Y);
342 
343 
365  void LoadDataBand(unsigned int L, Pds::Matrix &X, Pds::Vector &Y);
366 
381  void LoadDataBand2(unsigned int L, Pds::Matrix &X, Pds::Vector &Y);
382 
394  void LoadDataSineBand(unsigned int L, Pds::Matrix &X, Pds::Vector &Y);
395 
416  void LoadDataYinYang(unsigned int L, Pds::Matrix &X, Pds::Vector &Y);
417 
418 
423 } // namespace Classification
424 
425 } // namespace DataSet
426 
427 } // namespace Pds
428 
429 
434 #endif /* __PDS_FUNCDATASETLOAD_HPP__ */
void LoadDataSine(unsigned int L, Pds::Matrix &X, Pds::Vector &Y)
Clasificacion de datos separados por una curva.
void LoadDataEllipse(unsigned int L, Pds::Matrix &X, Pds::Vector &Y)
Clasificacion de datos separados por una curva.
void LoadDataFourierSeries(unsigned int L, Pds::Matrix &X, Pds::Vector &Y)
Regresion de datos ajustados por una curva.
void LoadDataCircle(unsigned int L, Pds::Matrix &X, Pds::Vector &Y)
Clasificacion de datos separados por una curva.
void LoadDataLine(unsigned int L, Pds::Matrix &X, Pds::Vector &Y)
Regresion de datos ajustados por una linea.
void LoadDataYinYang(unsigned int L, Pds::Matrix &X, Pds::Vector &Y)
Clasificacion de datos separados por mas de una curva.
void LoadDataLine2(unsigned int L, Pds::Matrix &X, Pds::Vector &Y)
Clasificacion de datos separados por una linea.
void LoadDataBand(unsigned int L, Pds::Matrix &X, Pds::Vector &Y)
Clasificacion de datos separados por mas de una curva.
void Kcumulus(unsigned int L, Pds::Matrix &X, unsigned int K=3)
Clustering de datos.
void LoadDataLineOutlierBall(unsigned int L, Pds::Matrix &X, Pds::Vector &Y, double outlier_percent=5)
Regresion de datos ajustados por una linea e outliers en una bola.
void LoadDataBand2(unsigned int L, Pds::Matrix &X, Pds::Vector &Y)
Clasificacion de datos separados por mas de una curva.
void LoadDataLine(unsigned int L, Pds::Matrix &X, Pds::Vector &Y)
Clasificacion de datos separados por una linea.
void LoadDataLineOutlierRand(unsigned int L, Pds::Matrix &X, Pds::Vector &Y, double outlier_percent=5)
Regresion de datos ajustados por una linea e outliers aleatorios.
void LoadDataCircle(unsigned int L, Pds::Matrix &X, Pds::Vector &Y)
Regresion de datos ajustados por una curva circular.
void LoadDataGaussian(unsigned int L, Pds::Matrix &X, Pds::Vector &Y)
Regresion de datos ajustados por una curva gaussiana.
void LoadDataSineBand(unsigned int L, Pds::Matrix &X, Pds::Vector &Y)
Clasificacion de datos separados por mas de una curva.
Nombre de espacion para PDS (Procesamiento Digital de Senales)

Enlaces de interés

HomePage Bazaar Download Bug report Ayuda Developer Feed