Ejemplos de LocallyLinearEmbedding en Python

Ejemplo n.º 1

Archivo: preprocessor_locallylinearembedding_modular.py Proyecto: orico/shogun

def preprocessor_locallylinearembedding_modular(data,k):
	from shogun.Features import RealFeatures
	from shogun.Preprocessor import LocallyLinearEmbedding
	
	features = RealFeatures(data)
		
	preprocessor = LocallyLinearEmbedding()
	preprocessor.set_target_dim(1)
	preprocessor.apply_to_feature_matrix(features)

	return features

Ejemplo n.º 2

Archivo: preprocessor_locallylinearembedding_modular.py Proyecto: sploving/shogun

def preprocessor_locallylinearembedding_modular(data,k):
	from shogun.Features import RealFeatures
	from shogun.Preprocessor import LocallyLinearEmbedding
	
	features = RealFeatures(data)
		
	preprocessor = LocallyLinearEmbedding()
	preprocessor.set_target_dim(1)
	preprocessor.set_k(k)
	preprocessor.apply_to_feature_matrix(features)

	return features

Ejemplo n.º 3

Archivo: swissroll.py Proyecto: orico/shogun

import numpy
tt = numpy.genfromtxt('../../../../../data/toy/swissroll_color.dat',unpack=True).T
X = numpy.genfromtxt('../../../../../data/toy/swissroll.dat',unpack=True).T
N = X.shape[1]
preprocs = []

from shogun.Preprocessor import LocallyLinearEmbedding
lle = LocallyLinearEmbedding()
lle.set_k(9)
preprocs.append((lle, "Locally Linear Embedding with k=%d" % lle.get_k()))

from shogun.Preprocessor import ClassicMDS
mds = ClassicMDS()
preprocs.append((mds, "Classic MDS"))

from shogun.Preprocessor import LandmarkMDS
lmds = LandmarkMDS()
lmds.set_landmark_number(50)
preprocs.append((lmds,"Landmark MDS with %d landmarks" % lmds.get_landmark_number()))

from shogun.Preprocessor import ClassicIsomap, KISOMAP
cisomap = ClassicIsomap()
cisomap.set_type(KISOMAP)
cisomap.set_k(9)
preprocs.append((cisomap,"Classic K-Isomap with k=%d" % cisomap.get_k()))

from shogun.Preprocessor import LandmarkIsomap
lisomap = LandmarkIsomap()
lisomap.set_landmark_number(50)
lisomap.set_type(KISOMAP)
lisomap.set_k(9)

Ejemplo n.º 4

Archivo: swissroll.py Proyecto: sploving/shogun

import numpy
tt = numpy.genfromtxt('../../../../../data/toy/swissroll_color.dat',unpack=True).T
X = numpy.genfromtxt('../../../../../data/toy/swissroll.dat',unpack=True).T
N = X.shape[1]
preprocs = []

from shogun.Preprocessor import LocallyLinearEmbedding
lle = LocallyLinearEmbedding()
lle.set_k(9)
preprocs.append((lle, "LLE with k=%d" % lle.get_k()))

from shogun.Preprocessor import ClassicMDS
mds = ClassicMDS()
preprocs.append((mds, "Classic MDS"))

from shogun.Preprocessor import LandmarkMDS
lmds = LandmarkMDS()
lmds.set_landmark_number(20)
preprocs.append((lmds,"LMDS with %d landmarks" % lmds.get_landmark_number()))

from shogun.Preprocessor import ClassicIsomap
cisomap = ClassicIsomap()
cisomap.set_k(9)
preprocs.append((cisomap,"K-Isomap with k=%d" % cisomap.get_k()))

from shogun.Preprocessor import LandmarkIsomap
lisomap = LandmarkIsomap()
lisomap.set_landmark_number(500)
lisomap.set_k(9)
preprocs.append((lisomap,"K-LIsomap with k=%d, %d landmarks" % (lisomap.get_k(),lisomap.get_landmark_number())))

Ejemplo n.º 5

import numpy
tt = numpy.genfromtxt('../../../../../data/toy/swissroll_color.dat',
                      unpack=True).T
X = numpy.genfromtxt('../../../../../data/toy/swissroll.dat', unpack=True).T
N = X.shape[1]
preprocs = []

from shogun.Preprocessor import LocallyLinearEmbedding
lle = LocallyLinearEmbedding()
lle.set_k(9)
preprocs.append((lle, "LLE with k=%d" % lle.get_k()))

from shogun.Preprocessor import ClassicMDS
mds = ClassicMDS()
preprocs.append((mds, "Classic MDS"))

from shogun.Preprocessor import LandmarkMDS
lmds = LandmarkMDS()
lmds.set_landmark_number(20)
preprocs.append((lmds, "LMDS with %d landmarks" % lmds.get_landmark_number()))

from shogun.Preprocessor import ClassicIsomap
cisomap = ClassicIsomap()
cisomap.set_k(9)
preprocs.append((cisomap, "K-Isomap with k=%d" % cisomap.get_k()))

from shogun.Preprocessor import LandmarkIsomap
lisomap = LandmarkIsomap()
lisomap.set_landmark_number(500)
lisomap.set_k(9)
preprocs.append((lisomap, "K-LIsomap with k=%d, %d landmarks" %