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  • [[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) - 13:53, 26 May 2016
  • ...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:
    14 KB (1,971 words) - 12:50, 2 December 2024
  • ...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:
    14 KB (1,969 words) - 13:25, 2 December 2024
  • ...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 (1,935 words) - 13:22, 2 December 2024
  • ...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 (1,879 words) - 13:23, 2 December 2024
  • ...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:
    25 KB (3,621 words) - 13:23, 2 December 2024
  • ...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:
    25 KB (3,621 words) - 13:23, 2 December 2024
  • ...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:
    14 KB (1,988 words) - 08:04, 1 March 2025

Page text matches

  • * PCA + k-means [[Principal component analysis|PCA]] is used for classification of an already aligned data set. It typically s
    379 bytes (49 words) - 10:47, 22 March 2016
  • [[Category:PCA]] ...thod: classification itself is performed on the features extracted through PCA.
    3 KB (424 words) - 17:03, 28 March 2020
  • ...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 (215 words) - 08:37, 19 August 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) - 13:53, 26 May 2016
  • [[Category:PCA]] ...ix is most commonly used in the context of [[Principal component analysis| PCA classification]].
    3 KB (471 words) - 10:16, 19 April 2016
  • [[Category:PCA]]
    428 bytes (63 words) - 13:50, 26 May 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) - 11:10, 19 April 2016
  • ====Classification with PCA==== ...rough the command line]] introduces how ''Dynamo'' allows the users to use PCA to then classify sets of particles.
    7 KB (963 words) - 15:21, 4 December 2024
  • ...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) - 17:41, 8 March 2018
  • * PCA [http://{{SERVERNAME}}/w/doc/misc/workshopIntroPCA.pptx Basic concepts.] ** Commandline operations with PCA
    3 KB (415 words) - 13:17, 2 December 2024
  • * PCA [http://{{SERVERNAME}}/w/doc/misc/workshopIntroPCA.pptx Basic concepts.] ** Commandline operations with PCA
    3 KB (406 words) - 13:17, 2 December 2024
  • ...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) - 13:53, 19 May 2016
  • * PCA [http://{{SERVERNAME}}/w/doc/misc/workshopIntroPCA.pptx Basic concepts.] ** Commandline operations with PCA
    3 KB (438 words) - 13:18, 2 December 2024
  • * Debugging of PCA system. ** PCA works now on GPU, and includes a new graphics system.
    4 KB (675 words) - 07:20, 1 March 2025
  • * Introduction to PCA {{pdftutorial|classification_tutorial|link}}
    2 KB (208 words) - 11:19, 29 April 2016
  • * PCA [http://{{SERVERNAME}}/w/doc/misc/workshopIntroPCA.pptx Basic concepts.] ** Commandline operations with PCA
    4 KB (540 words) - 13:16, 2 December 2024
  • ...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) - 06:44, 2 September 2016
  • ....pptx Basic concepts.] <br /> advanced subboxing tutorial: combining with PCA and MRA {{pdftutorial|subboxing_multireference_PCA|tutorial}} ** Commandline operations with PCA
    6 KB (796 words) - 13:19, 2 December 2024
  • * PCA [http://{{SERVERNAME}}/w/doc/misc/workshopIntroPCA.pptx Basic concepts.] ** Commandline operations with PCA
    4 KB (606 words) - 13:17, 2 December 2024
  • ....pptx Basic concepts.] <br /> advanced subboxing tutorial: combining with PCA and MRA {{pdftutorial|subboxing_multireference_PCA|tutorial}} ** Commandline operations with PCA
    6 KB (847 words) - 13:19, 2 December 2024

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