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Hello,
When using Antab, I am sometimes facing bbcs which are (literally) full of outliers (very bad/noisy data - see the illustration).
I have two related questions:
- Is there a way to have an op…
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Hi, I performed the preprocessing and postprocessing analyses on a cohort of cram files, obtaining two folders, 'motifs' and 'samples', whose content seems to be correct. Also the postprocessing did…
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Proposal of OUTLIER DETECTION
- Concept: After loading/importing datasets, by using the Outlier Detection function, following outcomes/results can be shown: (1) whether there are outliers in datasets…
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_Issue [JP-3682](https://jira.stsci.edu/browse/JP-3682) was created on JIRA by [Brett Graham](https://jira.stsci.edu/secure/ViewProfile.jspa?name=bgraham):_
The outlier detection step currently han…
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First , I would like to thank you for your Great effort in this repo.
regarding outlier, i suggest to do outlier handling in tow stages, univariate as you did using z score, and multivariate using an…
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The metadata of the algorithm don't contain any input for user defined data - could be done statically.
{
"algorithm": {
"endpoint": [
"DAMUrl",
"/outlier_detection/LOF",
…
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### Description
[Geo-line metric aggregation](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-metrics-geo-line.html) aggregates all geo_point values within a buc…
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Define an initial set outliers detection and removal functions.
Some suggestions:
- IQR;
- Chauvenet;
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Hi, I have a question about outlier detection.
After executing the OpenVAE, can we know which image is the outlier?
I really appreciate any help you can provide.