# Detecting identical or very similar samples in corpus

**URL:** https://discourse.flucoma.org/t/detecting-identical-or-very-similar-samples-in-corpus/2125
**Category:** Usage Questions
**Created:** [October 15, 2023, 2:34pm UTC](https://discourse.flucoma.org/t/detecting-identical-or-very-similar-samples-in-corpus/2125 "2023-10-15T14:34:34Z")
**Posts on this page:** 1
**Showing post:** 4

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### Author: ![rodrigo.constanzo](https://discourse.flucoma.org/user_avatar/discourse.flucoma.org/rodrigo.constanzo/32/12_2.png) [@rodrigo.constanzo](https://discourse.flucoma.org/u/rodrigo.constanzo)
#### Post date: [October 29, 2023, 3:23pm UTC](https://discourse.flucoma.org/t/detecting-identical-or-very-similar-samples-in-corpus/2125/4 "2023-10-29T15:23:11Z")

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Ah right, yeah that makes more sense, and should actually be more straight forward.

The reason I asked about duration as I wasn’t sure if you were saying that a 500ms sample could be “similar” to one that is 20s long (same contour, but just over a longer period). That kind of stuff starts getting a lot hairier.

In terms of durations as low as you’re describing, if you are doing summary statistics then it should be irrelevant as it may be just a couple frames difference in the summary itself.

Beyond that something like the dynamic time warping in [this object/thread](https://discourse.flucoma.org/t/new-object-early-community-build-3-and-4-5-6-fluiddataseries-and-dtw-based-classification-and-regression-now-in-sc-too/2103) will be handy, but it’s still in the pre-alpha stages. That shouldn’t be necessary for differences as small as you’re suggesting though.

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