[mlpack] 208/324: Improved nystroem localisation ('oe')

[Barak A. Pearlmutter]

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bap pushed a commit to branch svn-trunk
in repository mlpack.

commit 30b24a9675226bc1aa0b12d0497032d1f11d7cfd
Author: marcus <marcus at 9d5b8971-822b-0410-80eb-d18c1038ef23>
Date:   Tue Jul 22 20:34:31 2014 +0000

    Improved nystroem localisation ('oe')
    
    git-svn-id: http://svn.cc.gatech.edu/fastlab/mlpack/trunk@16850 9d5b8971-822b-0410-80eb-d18c1038ef23
---
 src/mlpack/methods/fastmks/fastmks_main.cpp       | 7 -------
 src/mlpack/methods/kernel_pca/kernel_pca_main.cpp | 4 ++--
 2 files changed, 2 insertions(+), 9 deletions(-)

diff --git a/src/mlpack/methods/fastmks/fastmks_main.cpp b/src/mlpack/methods/fastmks/fastmks_main.cpp
index e5561be..abb7708 100644
--- a/src/mlpack/methods/fastmks/fastmks_main.cpp
+++ b/src/mlpack/methods/fastmks/fastmks_main.cpp
@@ -5,13 +5,6 @@
  * Main executable for maximum inner product search.
  */
 #include <mlpack/core.hpp>
-#include <mlpack/core/kernels/linear_kernel.hpp>
-#include <mlpack/core/kernels/polynomial_kernel.hpp>
-#include <mlpack/core/kernels/cosine_distance.hpp>
-#include <mlpack/core/kernels/gaussian_kernel.hpp>
-#include <mlpack/core/kernels/hyperbolic_tangent_kernel.hpp>
-#include <mlpack/core/kernels/triangular_kernel.hpp>
-#include <mlpack/core/kernels/epanechnikov_kernel.hpp>
 
 #include "fastmks.hpp"
 
diff --git a/src/mlpack/methods/kernel_pca/kernel_pca_main.cpp b/src/mlpack/methods/kernel_pca/kernel_pca_main.cpp
index 91f6d75..6bc1ccb 100644
--- a/src/mlpack/methods/kernel_pca/kernel_pca_main.cpp
+++ b/src/mlpack/methods/kernel_pca/kernel_pca_main.cpp
@@ -64,12 +64,12 @@ PROGRAM_INFO("Kernel Principal Components Analysis",
     "options --bandwidth, --kernel_scale, --offset, or --degree (or a "
     "combination of those options)."
     "\n\n"
-    "Optionally, the nystroem method (\"Using the Nystroem method to speed up"
+    "Optionally, the nystr\u00F6m method (\"Using the Nystroem method to speed up"
     " kernel machines\", 2001) can be used to calculate the kernel matrix by "
     "specifying the --nystroem_method (-n) option. This approach works by using"
     " a subset of the data as basis to reconstruct the kernel matrix; to specify"
     " the sampling scheme, the --sampling parameter is used, the sampling scheme"
-    " for the nystroem method can be chosen from the following list: kmeans,"
+    " for the nystr\u00F6m method can be chosen from the following list: kmeans,"
     " random, ordered.");
 
 PARAM_STRING_REQ("input_file", "Input dataset to perform KPCA on.", "i");

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