OnWorks favicon

mlpack_kernel_pca - Online in the Cloud

Run mlpack_kernel_pca in OnWorks free hosting provider over Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator

This is the command mlpack_kernel_pca that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator



mlpack_kernel_pca - kernel principal components analysis


mlpack_kernel_pca [-h] [-v] -i string -k string -o string [-b double] [-c] [-D double] [-S double] [-d int] [-n] [-O double] [-s string] -V


This program performs Kernel Principal Components Analysis (KPCA) on the specified dataset
with the specified kernel. This will transform the data onto the kernel principal
components, and optionally reduce the dimensionality by ignoring the kernel principal
components with the smallest eigenvalues.

For the case where a linear kernel is used, this reduces to regular PCA.

For example, the following will perform KPCA on the 'input.csv' file using the gaussian
kernel and store the transformed date in the 'transformed.csv' file.

$ kernel_pca -i input.csv -k gaussian -o transformed.csv

The kernels that are supported are listed below:

· ’linear': the standard linear dot product (same as normal PCA): K(x, y) = x^T y

· ’gaussian': a Gaussian kernel; requires bandwidth: K(x, y) = exp(-(|| x - y || ^
2) / (2 * (bandwidth ^ 2)))

· ’polynomial': polynomial kernel; requires offset and degree: K(x, y) = (x^T y +
offset) ^ degree

· ’hyptan': hyperbolic tangent kernel; requires scale and offset: K(x, y) =
tanh(scale * (x^T y) + offset)

· ’laplacian': Laplacian kernel; requires bandwidth: K(x, y) = exp(-(|| x - y ||)
/ bandwidth)

· ’epanechnikov': Epanechnikov kernel; requires bandwidth: K(x, y) = max(0, 1 - ||
x - y ||^2 / bandwidth^2)

· ’cosine': cosine distance: K(x, y) = 1 - (x^T y) / (|| x || * || y ||)

The parameters for each of the kernels should be specified with the options --bandwidth,
--kernel_scale, --offset, or --degree (or a combination of those options).

Optionally, the nyström 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 nyström method can be chosen from the following list: kmeans,
random, ordered.


--input_file (-i) [string]
Input dataset to perform KPCA on.

--kernel (-k) [string]
The kernel to use; see the above documentation for the list of usable kernels.

--output_file (-o) [string]
File to save modified dataset to.


--bandwidth (-b) [double]
Bandwidth, for 'gaussian' and 'laplacian' kernels. Default value 1.

--center (-c)
If set, the transformed data will be centered about the origin.

--degree (-D) [double]
Degree of polynomial, for 'polynomial' kernel. Default value 1.

--help (-h)
Default help info.

--info [string]
Get help on a specific module or option. Default value ''. --kernel_scale (-S)
[double] Scale, for 'hyptan' kernel. Default value 1.

--new_dimensionality (-d) [int]
If not 0, reduce the dimensionality of the output dataset by ignoring the
dimensions with the smallest eigenvalues. Default value 0.

--nystroem_method (-n)
If set, the nystroem method will be used.

--offset (-O) [double]
Offset, for 'hyptan' and 'polynomial' kernels. Default value 0.

--sampling (-s) [string]
Sampling scheme to use for the nystroem method: 'kmeans', 'random', 'ordered'
Default value 'kmeans'.

--verbose (-v)
Display informational messages and the full list of parameters and timers at the
end of execution.

--version (-V)
Display the version of mlpack.


For further information, including relevant papers, citations, and theory, consult the
documentation found at http://www.mlpack.org or included with your DISTRIBUTION OF MLPACK.


Use mlpack_kernel_pca online using onworks.net services

Free Servers & Workstations

Download Windows & Linux apps

  • 1
    A fast tunnel proxy that helps you
    bypass firewalls This is an application
    that can also be fetched from
    It ha...
    Download Shadowsocks
  • 2
    GLPI Themes
    GLPI Themes
    Download release at
    Color themes for GLPI 0.84 and 0.85 New
    Modifications for GLPI This is an
    application that c...
    Download GLPI Themes
  • 3
    SMPlayer is a free media player for
    Windows and Linux with built-in codecs
    that can also play YouTube videos. One
    of the most interesting features of
    Download SMPlayer
  • 4
    AAX to MP3
    AAX to MP3
    Usage: - Install the Audible Manager
    and open a file of your account. - Sign
    in into your audible account (in the
    application). Now the program can
    convert you...
    Download AAX to MP3
  • 5
    TestLink is a web based Test Management
    tool. The application provides Test
    specification, Test plans and execution,
    Reporting, Requirements specification
    and ...
    Download TestLink
  • 6
    XDXF - XML Dictionary Exchange Format
    XDXF - XML Dictionary Exchange Format
    XDXF is a project to unite all existing
    open dictionaries and provide both users
    and developers with universal XML-based
    format, convertible from and to other ...
    Download XDXF - XML Dictionary Exchange Format
  • 7
    Transmission Remote GUI
    Transmission Remote GUI
    Transmission Remote GUI is a feature
    rich cross platform front-end to
    remotely control a Transmission
    Bit-Torrent client daemon via its RPC
    protocol. Transmissi...
    Download Transmission Remote GUI
  • More »

Linux commands