meta user
network profile
| bio | website | |
|---|---|---|
| location | ||
| age | 28 | |
| visits | member for | 2 years, 10 months |
| seen | May 8 at 8:31 | |
| stats | profile views | 36 |
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Apr 1 |
awarded | Nice Question |
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May 20 |
awarded | Popular Question |
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Nov 17 |
awarded | Nice Answer |
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Jul 21 |
awarded | Yearling |
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Dec 9 |
awarded | Precognitive |
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Aug 25 |
answered | A survey of data-mining software tools |
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Aug 24 |
comment |
A survey of data-mining software tools I'm not a Mac user, but I think the Linux build could work for you (you need to manually install all python dependencies): red-r.org/forum/topic.php?id=22#post-76 |
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Aug 22 |
awarded | Critic |
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Aug 22 |
comment |
A survey of data-mining software tools you could add Red-R to the list (kind of a clone of Orange in R): red-r.org |
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Aug 17 |
answered | What are correct values for precision and recall in edge cases? |
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Aug 9 |
comment |
SVD dimensionality reduction for time series of different length I am not trying to compute a reduced-rank approximation of X, rather a transformed X. You see my goal is not to filter noisy sequences, but to find a representation with a reduced dimensionality (to be used for classification/clustering of time series)... Could you elaborate a bit on the EM-PCA approach? |
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Aug 7 |
awarded | Scholar |
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Aug 7 |
accepted | SVD dimensionality reduction for time series of different length |
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Aug 7 |
comment |
SVD dimensionality reduction for time series of different length interesting idea, thanks for sharing |
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Aug 6 |
awarded | Editor |
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Aug 6 |
revised |
SVD dimensionality reduction for time series of different length changed title |
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Aug 6 |
comment |
SVD dimensionality reduction for time series of different length IMO both suggestions boil down to predicting future values from existing ones (AR/ARMA models perhaps?). I guess I'm still hoping for a solution that doesn't involve sampling values (thus the possibility of introducing error).. Besides estimating such models is in itself a form of dimensionality reduction :) |
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Aug 4 |
comment |
SVD dimensionality reduction for time series of different length I wouldn't call it "missing data", perhaps "SVD dimensionality reduction for time series of different length"? |
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Aug 4 |
comment |
SVD dimensionality reduction for time series of different length +1 replication/resampling are definitely better than zero-padding.. still I'll wait and see if there are any other ideas out there :) |
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Aug 4 |
awarded | Student |
