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lines changed Original file line number Diff line number Diff line change @@ -359,7 +359,7 @@ tangent spaces to learn the embedding. LTSA can be performed with function
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:target: ../auto_examples/manifold/plot_lle_digits.html
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:align: center
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:scale: 50
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Complexity
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----------
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@@ -393,7 +393,8 @@ The overall complexity of standard LTSA is
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Multi-dimensional Scaling (MDS)
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===============================
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- Multidimensional scaling (:class: `MDS `) seeks a low-dimensional
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+ `Multidimensional scaling <http://en.wikipedia.org/wiki/Multidimensional_scaling >`_
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+ (:class: `MDS `) seeks a low-dimensional
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representation of the data in which the distances respect well the
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distances in the original high-dimensional space.
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For a similiar example, where the methods are applied to the
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S-curve dataset, see :ref:`example_manifold_plot_compare_methods.py`
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- Note that the purpose of the MDS is to find a low-dimensional
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- representation of the data (here 2D) in which the distances respect well
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- the distances in the original high-dimensional space, unlike other
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- manifold-learning algorithms, it does not seeks an isotropic
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- representation of the data in the low-dimensional space.
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+ Note that the purpose of the :ref:`MDS <multidimensional_scaling>` is
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+ to find a low-dimensional representation of the data (here 2D) in
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+ which the distances respect well the distances in the original
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+ high-dimensional space, unlike other manifold-learning algorithms,
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+ it does not seeks an isotropic representation of the data in
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+ the low-dimensional space.
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"""
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# Author: Jaques Grobler <jaques.grobler@inria.fr>
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