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  • ...nalysis|PCA]] computations through the command line are governed through ''PCA workflow'' objects. We describe here how to create and handle them: The input of a PCA workflow are:
    13 KB (1,925 words) - 13:19, 5 April 2020
  • [[Category:PCA]] When you are using the PCA method, it is frequently frustrating not to detect a clear trend in the his
    2 KB (351 words) - 15:53, 26 May 2016

Page text matches

  • 35 : sref subreference (i.e. generated by Dynamo PCA)
    6 KB (809 words) - 09:22, 25 November 2019
  • 35 : sref subreference (i.e. generated by Dynamo PCA)
    8 KB (1,191 words) - 09:50, 1 June 2017
  • * PCA + k-means [[Principal component analysis|PCA]] is used for classification of an already aligned data set. It typically s
    379 bytes (49 words) - 12:47, 22 March 2016
  • ...tly aligned in the first place. If heterogeneity drives alignment to fail, PCA may not be capable to classify the particles. *PCA is prone to fail to detect features that are present in small subsets of th
    1 KB (179 words) - 11:30, 22 April 2016
  • ...averages of the particles assigned to different clusters computed through PCA+Kmeans or Hierarchical Ascending Clustering. ...or HAC. The name "subreference" comes from the fact that we frequently use PCA analysis on top of the results attained by Multireference Analysis.
    5 KB (721 words) - 19:41, 8 March 2018
  • [[Category:PCA]] ...thod: classification itself is performed on the features extracted through PCA.
    3 KB (424 words) - 19:03, 28 March 2020
  • ...nalysis|PCA]] computations through the command line are governed through ''PCA workflow'' objects. We describe here how to create and handle them: The input of a PCA workflow are:
    13 KB (1,925 words) - 13:19, 5 April 2020
  • [[Category:PCA]] ...ix is most commonly used in the context of [[Principal component analysis| PCA classification]].
    3 KB (471 words) - 12:16, 19 April 2016
  • ...same template is rotated many times and compared to a given particle. In PCA, the situation is different. The most numerically demanding part is the con
    715 bytes (111 words) - 13:10, 19 April 2016
  • ...p in comparison with a CPU application. The only effective way to speed up PCA is the use of parallel CPU computing.
    5 KB (902 words) - 08:44, 2 September 2016
  • ...s on the membrane are high enough, a single alignment project followd by a PCA might actually suffice to locate the seeds containing actual protein.
    4 KB (683 words) - 13:51, 3 February 2017
  • ===Classification with PCA and k-means===
    24 KB (3,765 words) - 17:08, 28 November 2017
  • * Debugging of PCA system. ** PCA works now on GPU, and includes a new graphics system.
    2 KB (310 words) - 13:03, 3 April 2020
  • * PCA [http://{{SERVERNAME}}/w/doc/misc/workshopIntroPCA.pptx Basic concepts.] ** Commandline operations with PCA
    4 KB (538 words) - 09:58, 25 August 2017
  • * Introduction to PCA {{pdftutorial|classification_tutorial|link}}
    2 KB (208 words) - 13:19, 29 April 2016
  • ...would be to run a [[PCA]] on the last [[refined table]]. If you are using PCA to diagnose a convergence problem, you probably want to start this approach Remember that a quick way to check the results of a PCA project is by looking at the histograms of the eigencomponents.
    5 KB (720 words) - 15:53, 19 May 2016
  • [[Category:PCA]] When you are using the PCA method, it is frequently frustrating not to detect a clear trend in the his
    2 KB (351 words) - 15:53, 26 May 2016
  • [[Category:PCA]]
    428 bytes (63 words) - 15:50, 26 May 2016
  • * PCA [http://{{SERVERNAME}}/w/doc/misc/workshopIntroPCA.pptx Basic concepts.] ** Commandline operations with PCA
    3 KB (413 words) - 11:12, 19 August 2016
  • * PCA [http://{{SERVERNAME}}/w/doc/misc/workshopIntroPCA.pptx Basic concepts.] ** Commandline operations with PCA
    3 KB (404 words) - 17:51, 31 August 2016

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