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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 his2 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 s379 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 th1 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 his2 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 con715 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 PCA3 KB (415 words) - 13:17, 2 December 2024
- * PCA [http://{{SERVERNAME}}/w/doc/misc/workshopIntroPCA.pptx Basic concepts.] ** Commandline operations with PCA3 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 PCA3 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 PCA4 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 PCA6 KB (796 words) - 13:19, 2 December 2024
- * PCA [http://{{SERVERNAME}}/w/doc/misc/workshopIntroPCA.pptx Basic concepts.] ** Commandline operations with PCA4 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 PCA6 KB (847 words) - 13:19, 2 December 2024