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PLearn 0.1
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#include <SpectralClustering.h>


Public Member Functions | |
| SpectralClustering () | |
| Default constructor. | |
| virtual void | build () |
| Simply calls inherited::build() then build_(). | |
| virtual void | makeDeepCopyFromShallowCopy (CopiesMap &copies) |
| Transforms a shallow copy into a deep copy. | |
| virtual string | classname () const |
| virtual OptionList & | getOptionList () const |
| virtual OptionMap & | getOptionMap () const |
| virtual RemoteMethodMap & | getRemoteMethodMap () const |
| virtual SpectralClustering * | deepCopy (CopiesMap &copies) const |
| virtual void | forget () |
| (Re-)initializes the PLearner in its fresh state. | |
Static Public Member Functions | |
| static string | _classname_ () |
| static OptionList & | _getOptionList_ () |
| static RemoteMethodMap & | _getRemoteMethodMap_ () |
| static Object * | _new_instance_for_typemap_ () |
| static bool | _isa_ (const Object *o) |
| static void | _static_initialize_ () |
| static const PPath & | declaringFile () |
Public Attributes | |
| bool | remove_bias |
Static Public Attributes | |
| static StaticInitializer | _static_initializer_ |
Static Protected Member Functions | |
| static void | declareOptions (OptionList &ol) |
| Declares this class' options. | |
Protected Attributes | |
| Ker | sc_kernel |
Private Types | |
| typedef KernelProjection | inherited |
Private Member Functions | |
| void | build_ () |
| This does the actual building. | |
Definition at line 52 of file SpectralClustering.h.
typedef KernelProjection PLearn::SpectralClustering::inherited [private] |
Reimplemented from PLearn::KernelProjection.
Definition at line 57 of file SpectralClustering.h.
| PLearn::SpectralClustering::SpectralClustering | ( | ) |
Default constructor.
Definition at line 52 of file SpectralClustering.cc.
References PLearn::KernelProjection::min_eigenvalue.
: remove_bias(false) { // Usually, one will want only positive eigenvalues. min_eigenvalue = 0; }
| string PLearn::SpectralClustering::_classname_ | ( | ) | [static] |
Reimplemented from PLearn::KernelProjection.
Definition at line 63 of file SpectralClustering.cc.
| OptionList & PLearn::SpectralClustering::_getOptionList_ | ( | ) | [static] |
Reimplemented from PLearn::KernelProjection.
Definition at line 63 of file SpectralClustering.cc.
| RemoteMethodMap & PLearn::SpectralClustering::_getRemoteMethodMap_ | ( | ) | [static] |
Reimplemented from PLearn::KernelProjection.
Definition at line 63 of file SpectralClustering.cc.
Reimplemented from PLearn::KernelProjection.
Definition at line 63 of file SpectralClustering.cc.
| Object * PLearn::SpectralClustering::_new_instance_for_typemap_ | ( | ) | [static] |
Reimplemented from PLearn::KernelProjection.
Definition at line 63 of file SpectralClustering.cc.
| StaticInitializer SpectralClustering::_static_initializer_ & PLearn::SpectralClustering::_static_initialize_ | ( | ) | [static] |
Reimplemented from PLearn::KernelProjection.
Definition at line 63 of file SpectralClustering.cc.
| void PLearn::SpectralClustering::build | ( | ) | [virtual] |
Simply calls inherited::build() then build_().
Reimplemented from PLearn::KernelProjection.
Definition at line 92 of file SpectralClustering.cc.
References PLearn::KernelProjection::build(), and build_().
{
inherited::build();
build_();
}

| void PLearn::SpectralClustering::build_ | ( | ) | [private] |
This does the actual building.
Reimplemented from PLearn::KernelProjection.
Definition at line 101 of file SpectralClustering.cc.
References PLearn::KernelProjection::kernel, remove_bias, and sc_kernel.
Referenced by build().
{
// Obtain the "real" kernel by divisive normalization of 'sc_kernel'.
// We have to do this iff:
// 1. A 'sc_kernel' is provided, and
// 2. either:
// 2.a. the 'kernel' option is not set, or
// 2.b. the 'kernel' option is not a DivisiveNormalizationKernel acting on 'sc_kernel'.
// This is to ensure that a loaded 'kernel' won't be overwritten.
if (sc_kernel &&
(!kernel ||
(dynamic_cast<DivisiveNormalizationKernel*>((Kernel*) kernel))->source_kernel != sc_kernel)) {
this->kernel = new DivisiveNormalizationKernel
(sc_kernel, remove_bias);
}
}

| string PLearn::SpectralClustering::classname | ( | ) | const [virtual] |
Reimplemented from PLearn::KernelProjection.
Definition at line 63 of file SpectralClustering.cc.
| void PLearn::SpectralClustering::declareOptions | ( | OptionList & | ol | ) | [static, protected] |
Declares this class' options.
Reimplemented from PLearn::KernelProjection.
Definition at line 68 of file SpectralClustering.cc.
References PLearn::OptionBase::buildoption, PLearn::declareOption(), PLearn::KernelProjection::declareOptions(), PLearn::KernelProjection::ignore_n_first, PLearn::KernelProjection::kernel, PLearn::OptionBase::learntoption, PLearn::OptionBase::nosave, PLearn::redeclareOption(), remove_bias, and sc_kernel.
{
declareOption(ol, "remove_bias", &SpectralClustering::remove_bias, OptionBase::buildoption,
"If set to 1, the (divisively) normalized kernel will not take into account terms\n"
"of the form K(x_i,x_i), in order to remove bias induced by those terms.");
// Now call the parent class' declareOptions
inherited::declareOptions(ol);
// Redirect the 'kernel' option toward sc_kernel.
redeclareOption(ol, "kernel", &SpectralClustering::sc_kernel, OptionBase::buildoption,
"The kernel used to (implicitly) project the data in feature space.");
redeclareOption(ol, "ignore_n_first", &SpectralClustering::ignore_n_first, OptionBase::nosave,
"In Spectral clustering, no eigenvector is ignored.");
// And declare the normalized kernel so that it can be saved.
declareOption(ol, "normalized_kernel", &KernelProjection::kernel, OptionBase::learntoption,
"The normalized kernel.");
}

| static const PPath& PLearn::SpectralClustering::declaringFile | ( | ) | [inline, static] |
Reimplemented from PLearn::KernelProjection.
Definition at line 110 of file SpectralClustering.h.
| SpectralClustering * PLearn::SpectralClustering::deepCopy | ( | CopiesMap & | copies | ) | const [virtual] |
Reimplemented from PLearn::KernelProjection.
Definition at line 63 of file SpectralClustering.cc.
| void PLearn::SpectralClustering::forget | ( | ) | [virtual] |
(Re-)initializes the PLearner in its fresh state.
Reimplemented from PLearn::KernelProjection.
Definition at line 121 of file SpectralClustering.cc.
References PLearn::KernelProjection::forget().
{
inherited::forget();
}

| OptionList & PLearn::SpectralClustering::getOptionList | ( | ) | const [virtual] |
Reimplemented from PLearn::KernelProjection.
Definition at line 63 of file SpectralClustering.cc.
| OptionMap & PLearn::SpectralClustering::getOptionMap | ( | ) | const [virtual] |
Reimplemented from PLearn::KernelProjection.
Definition at line 63 of file SpectralClustering.cc.
| RemoteMethodMap & PLearn::SpectralClustering::getRemoteMethodMap | ( | ) | const [virtual] |
Reimplemented from PLearn::KernelProjection.
Definition at line 63 of file SpectralClustering.cc.
| void PLearn::SpectralClustering::makeDeepCopyFromShallowCopy | ( | CopiesMap & | copies | ) | [virtual] |
Transforms a shallow copy into a deep copy.
Reimplemented from PLearn::KernelProjection.
Definition at line 129 of file SpectralClustering.cc.
References PLearn::KernelProjection::makeDeepCopyFromShallowCopy(), and PLERROR.
{
inherited::makeDeepCopyFromShallowCopy(copies);
// ### Call deepCopyField on all "pointer-like" fields
// ### that you wish to be deepCopied rather than
// ### shallow-copied.
// ### ex:
// deepCopyField(trainvec, copies);
// ### Remove this line when you have fully implemented this method.
PLERROR("SpectralClustering::makeDeepCopyFromShallowCopy not fully (correctly) implemented yet!");
}

Reimplemented from PLearn::KernelProjection.
Definition at line 110 of file SpectralClustering.h.
Definition at line 73 of file SpectralClustering.h.
Referenced by build_(), and declareOptions().
Ker PLearn::SpectralClustering::sc_kernel [protected] |
Definition at line 65 of file SpectralClustering.h.
Referenced by build_(), and declareOptions().
1.7.4