Explain Shape based distance timeseries shape similarity algorithm
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I want to understand Timeseries shape similarity algorithm ( Shape-based distance aka SBD). I can't understand the statistics behind it and why it is better than DTW or other similarity measure. I'm trying to read this paper http://www1.cs.columbia.edu/~jopa/Papers/PaparrizosSIGMOD2015.pdf but can't understand anything in this regard. Any explanation with some example is really appreciated. Thanks.
machine-learning time-series clustering similarity
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$begingroup$
I want to understand Timeseries shape similarity algorithm ( Shape-based distance aka SBD). I can't understand the statistics behind it and why it is better than DTW or other similarity measure. I'm trying to read this paper http://www1.cs.columbia.edu/~jopa/Papers/PaparrizosSIGMOD2015.pdf but can't understand anything in this regard. Any explanation with some example is really appreciated. Thanks.
machine-learning time-series clustering similarity
asked 8 mins ago
zubug55zubug55
1
New contributor
zubug55 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 |
$begingroup$
I want to understand Timeseries shape similarity algorithm ( Shape-based distance aka SBD). I can't understand the statistics behind it and why it is better than DTW or other similarity measure. I'm trying to read this paper http://www1.cs.columbia.edu/~jopa/Papers/PaparrizosSIGMOD2015.pdf but can't understand anything in this regard. Any explanation with some example is really appreciated. Thanks.
machine-learning time-series clustering similarity
asked 8 mins ago
zubug55zubug55
1
New contributor
zubug55 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I want to understand Timeseries shape similarity algorithm ( Shape-based distance aka SBD). I can't understand the statistics behind it and why it is better than DTW or other similarity measure. I'm trying to read this paper http://www1.cs.columbia.edu/~jopa/Papers/PaparrizosSIGMOD2015.pdf but can't understand anything in this regard. Any explanation with some example is really appreciated. Thanks.
machine-learning time-series clustering similarity
machine-learning time-series clustering similarity
asked 8 mins ago
zubug55zubug55
1
New contributor
zubug55 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 8 mins ago
zubug55zubug55
1
New contributor
zubug55 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 8 mins ago
zubug55zubug55
1
New contributor
zubug55 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 8 mins ago
zubug55zubug55
1
asked 8 mins ago
zubug55zubug55
1
1
New contributor
zubug55 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
zubug55 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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