How to get vector representations(or embeddings) of time series?
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Even if a time series is constructed up of numbers only, finding abstract fixed-dim vector representation would be interesting for classification/clustering purposes. As we can learn & find abstract representations/embeddings of text/images, can we something similar on Time series? Finding such ways would result in better clustering & related tasks instead of traditional ways using some statistical measures like Pearson correlation etc. All thoughts are welcome.
deep-learning time-series embeddings descriptive-statistics
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GapPsGapPs
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Even if a time series is constructed up of numbers only, finding abstract fixed-dim vector representation would be interesting for classification/clustering purposes. As we can learn & find abstract representations/embeddings of text/images, can we something similar on Time series? Finding such ways would result in better clustering & related tasks instead of traditional ways using some statistical measures like Pearson correlation etc. All thoughts are welcome.
deep-learning time-series embeddings descriptive-statistics
asked 2 mins ago
GapPsGapPs
11
New contributor
GapPs is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
Even if a time series is constructed up of numbers only, finding abstract fixed-dim vector representation would be interesting for classification/clustering purposes. As we can learn & find abstract representations/embeddings of text/images, can we something similar on Time series? Finding such ways would result in better clustering & related tasks instead of traditional ways using some statistical measures like Pearson correlation etc. All thoughts are welcome.
deep-learning time-series embeddings descriptive-statistics
asked 2 mins ago
GapPsGapPs
11
New contributor
GapPs is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
Even if a time series is constructed up of numbers only, finding abstract fixed-dim vector representation would be interesting for classification/clustering purposes. As we can learn & find abstract representations/embeddings of text/images, can we something similar on Time series? Finding such ways would result in better clustering & related tasks instead of traditional ways using some statistical measures like Pearson correlation etc. All thoughts are welcome.
deep-learning time-series embeddings descriptive-statistics
deep-learning time-series embeddings descriptive-statistics
asked 2 mins ago
GapPsGapPs
11
New contributor
GapPs is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 mins ago
GapPsGapPs
11
New contributor
GapPs is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 mins ago
GapPsGapPs
11
New contributor
GapPs is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 mins ago
GapPsGapPs
11
asked 2 mins ago
GapPsGapPs
11
11
New contributor
GapPs is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
GapPs is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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