File:Visualizing-and-clustering-high-throughput-sub-cellular-localization-imaging-1471-2105-9-81-S3.ogv

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Visualizing-and-clustering-high-throughput-sub-cellular-localization-imaging-1471-2105-9-81-S3.ogv ‎(Ogg Theora video file, length 41 s, 534 × 400 pixels, 757 kbps, file size: 3.66 MB)

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Description
English: Nearest neighbors shown 3 dimensions. A movie showing a rotation around the data shown in Figure 3(A). Initially the movie shows and rotates around the data, with the nearest neighbors using the 3D Euclidean distance then being joined. The view is then switched to showing nearest neighbors using the (high dimensional) Euclidean distance between the unmapped statistics vectors for each image. The number of images that have the same class as their nearest neighbors is shown in each case.
Date
Source Hamilton N, Teasdale R (2008). "Visualizing and clustering high throughput sub-cellular localization imaging". BMC Bioinformatics. DOI:10.1186/1471-2105-9-81. PMID 18241353. PMC: 2248560.
Author Hamilton N, Teasdale R
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This file is licensed under the Creative Commons Attribution 2.0 Generic license.
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This file was transferred to Wikimedia Commons from PubMed Central by way of the Open Access Media Importer.
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Date/TimeThumbnailDimensionsUserComment
current02:06, 21 November 201241 s, 534 × 400 (3.66 MB)Open Access Media Importer Bot (talk | contribs)Automatically uploaded media file from Open Access source. Please report problems or suggestions here.

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Format Bitrate Download Status Encode time
VP9 360P 338 kbps Completed 19:18, 25 October 2018 18 s
Streaming 360p (VP9) Not ready Unknown status
VP9 240P 164 kbps Completed 19:18, 25 October 2018 14 s
Streaming 240p (VP9) 163 kbps Completed 01:00, 22 December 2023 1.0 s
WebM 360P 508 kbps Completed 02:20, 21 November 2012 15 s
Streaming 144p (MJPEG) 303 kbps Completed 03:21, 18 November 2023 1.0 s

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