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What are the cases in which Isomap fails to do a good job?
What is dimensionality reduction? What is the difference between feature selection and extraction?High-dimensional data: What are useful techniques to know?Dimension Reduction - After or Before Train-Test SplitIssue with Spark SVDWhat are 2D dimensionality reduction algorithms good for?Dimensionality reduction with PCA limitationsWhat should we do with the construction of a classifier (e.g., NN) if we have more number of input features?Which dissimilarity/similarity measure use after a dimension reduction ( PCA / AutoEncoder / … )?Applying dimensionality reduction on OneHotEncoded arrayEfficient dimensionality reduction for large dataset
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As above, what is a possible scenario/ dataset/ case in which Isomap fails to do a decent dimensionality reduction?
machine-learning scikit-learn dimensionality-reduction
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John Deterious is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
$begingroup$
As above, what is a possible scenario/ dataset/ case in which Isomap fails to do a decent dimensionality reduction?
machine-learning scikit-learn dimensionality-reduction
New contributor
John Deterious is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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add a comment |
$begingroup$
As above, what is a possible scenario/ dataset/ case in which Isomap fails to do a decent dimensionality reduction?
machine-learning scikit-learn dimensionality-reduction
New contributor
John Deterious is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
As above, what is a possible scenario/ dataset/ case in which Isomap fails to do a decent dimensionality reduction?
machine-learning scikit-learn dimensionality-reduction
machine-learning scikit-learn dimensionality-reduction
New contributor
John Deterious is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
John Deterious is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
John Deterious is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Mar 18 at 4:44
John DeteriousJohn Deterious
183
183
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Here is the visualization of COIL-20 data set in t-SNE paper:

The data-set consists of images of 20 objects (clusters). In all cases provided in the paper and some cases I found on the Internet (6000 MNIST data set, slide no. 31), the quality of IsoMap (2001) is not comparable to t-SNE (2008).
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1 Answer
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1 Answer
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Here is the visualization of COIL-20 data set in t-SNE paper:

The data-set consists of images of 20 objects (clusters). In all cases provided in the paper and some cases I found on the Internet (6000 MNIST data set, slide no. 31), the quality of IsoMap (2001) is not comparable to t-SNE (2008).
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Here is the visualization of COIL-20 data set in t-SNE paper:

The data-set consists of images of 20 objects (clusters). In all cases provided in the paper and some cases I found on the Internet (6000 MNIST data set, slide no. 31), the quality of IsoMap (2001) is not comparable to t-SNE (2008).
$endgroup$
add a comment |
$begingroup$
Here is the visualization of COIL-20 data set in t-SNE paper:

The data-set consists of images of 20 objects (clusters). In all cases provided in the paper and some cases I found on the Internet (6000 MNIST data set, slide no. 31), the quality of IsoMap (2001) is not comparable to t-SNE (2008).
$endgroup$
Here is the visualization of COIL-20 data set in t-SNE paper:

The data-set consists of images of 20 objects (clusters). In all cases provided in the paper and some cases I found on the Internet (6000 MNIST data set, slide no. 31), the quality of IsoMap (2001) is not comparable to t-SNE (2008).
answered Mar 18 at 11:35
EsmailianEsmailian
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