omics.wiki valuation and analysis

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Title NLPCA - nonlinear PCA - auto-associative neural networks - autoencoder bottleneck neural networks -
Description Nonlinear principal component analysis (NLPCA) based on auto-associative neural networks, also known as autoencoder, replicator networks, bottleneck or sandglass type
Keywords nonlinear principal component analysis, NLPCA, nonlinear PCA, non-linear PCA, circular PCA, principal component analysis, PCA, auto-associative neural network, autoencoder, bottleneck network, replicator network, sandglass network, missing data
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WebSite omics faviconomics.wiki
Host IP 81.169.145.72
Location Germany
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omics.wiki Valuation
US$13,746,259
Last updated: 2023-04-28 02:58:21

omics.wiki has Semrush global rank of 769,977. omics.wiki has an estimated worth of US$ 13,746,259, based on its estimated Ads revenue. omics.wiki receives approximately 1,586,107 unique visitors each day. Its web server is located in Germany, with IP address 81.169.145.72. According to SiteAdvisor, omics.wiki is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$13,746,259
Daily Ads Revenue US$12,689
Monthly Ads Revenue US$380,666
Yearly Ads Revenue US$4,567,988
Daily Unique Visitors 105,741
Note: All traffic and earnings values are estimates.
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Host Type TTL Data
omics.wiki. A 299 IP: 81.169.145.72
omics.wiki. AAAA 299 IPV6: 2a01:238:20a:202:1072::
omics.wiki. NS 300 NS Record: shades16.rzone.de.
omics.wiki. NS 300 NS Record: docks17.rzone.de.
omics.wiki. MX 300 MX Record: 5 smtpin.rzone.de.
HtmlToTextCheckTime:2023-04-28 02:58:21
Nonlinear PCA Nonlinear PCA toolbox for MATLAB by Matthias Scholz Auto-associative neural network (Autoencoder) Nonlinear principal component analysis (NLPCA) is commonly seen as a nonlinear generalization of standard principal component analysis (PCA). It generalizes the principal components from straight lines to curves (nonlinear). Thus, the subspace in the original data space which is described by all nonlinear components is also curved. Nonlinear PCA can be achieved by using a neural network with an autoassociative architecture also known as autoencoder, replicator network, bottleneck or sandglass type network. Such autoassociative neural network is a multi-layer perceptron that performs an identity mapping, meaning that the output of the network is required to be identical to the input. However, in the middle of the network is a layer that works as a bottleneck in which a reduction of the dimension of the data is enforced. This bottleneck-layer provides the desired component
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HTTP/1.1 200 OK
Date: Thu, 21 Oct 2021 05:06:34 GMT
Server: Apache/2.4.51 (Unix)
Last-Modified: Mon, 13 Apr 2020 19:32:22 GMT
ETag: "3476-5a33124579d80"
Accept-Ranges: bytes
Content-Length: 13430
Content-Type: text/html
omics.wiki Whois Information
Domain Name: OMICS.WIKI
Registry Domain ID: D3252086-CNIC
Registrar WHOIS Server: whois.cronon.net
Registrar URL: http://www.cronon.net
Updated Date: 2021-08-02T02:25:54.0Z
Creation Date: 2014-06-10T17:25:32.0Z
Registry Expiry Date: 2022-06-10T23:59:59.0Z
Registrar: Cronon AG
Registrar IANA ID: 141
Domain Status: ok https://icann.org/epp#ok
Registrant Country: DE
Name Server: SHADES16.RZONE.DE
Name Server: DOCKS17.RZONE.DE
DNSSEC: unsigned
Registrar Abuse Contact Email: registrar-admin@cronon.net
Registrar Abuse Contact Phone: +49.30398020
>>> Last update of WHOIS database: 2021-09-09T21:44:10.0Z <<<