Timeline for Proportion of explained variance in PCA and LDA
Current License: CC BY-SA 3.0
15 events
| when toggle format | what | by | license | comment | |
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| Mar 19, 2017 at 17:43 | comment | added | Franck Dernoncourt | Please only one question per thread. | |
| Mar 19, 2017 at 17:43 | history | edited | Franck Dernoncourt |
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| Nov 13, 2014 at 22:08 | history | edited | amoeba | CC BY-SA 3.0 |
light editing
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| Aug 5, 2014 at 14:54 | answer | added | amoeba | timeline score: 12 | |
| Aug 14, 2013 at 12:16 | comment | added | wrek | Thanks again for the great help and patience. BTW how can I access the Proportion of trace (LD1, LD2) as I wish to save them in two separate variables? | |
| Aug 14, 2013 at 11:11 | comment | added | ttnphns | With LDA, the correct wording will be “LD (X% of explained between-group Variance)”. | |
| Aug 14, 2013 at 8:56 | comment | added | wrek | Thanks for the explanation. Therefore, if in the axes of the PC components I label them as “PC (X% of explained Variance)” what would be the correct short term when I label the LDs. Thanks again. | |
| Aug 14, 2013 at 8:32 | history | edited | ttnphns | CC BY-SA 3.0 |
deleted 13 characters in body; edited tags
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| Aug 14, 2013 at 8:17 | comment | added | ttnphns | In a sense, a discriminant accounts for a variability as a p. component does, the eigenvalue being the amount of it. However, the "variability" in LDA is of special sort - it is the ratio of between-class variabilty to the within-class variability. Each discriminant tries to account for as much as possible of that ratio. Read further | |
| Aug 14, 2013 at 6:21 | history | edited | wrek | CC BY-SA 3.0 |
added 32 characters in body; edited title
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| S Aug 13, 2013 at 22:42 | history | suggested | Andre Silva | CC BY-SA 3.0 |
title, readability,tags
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| Aug 13, 2013 at 22:36 | review | Suggested edits | |||
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| Aug 13, 2013 at 22:02 | review | First posts | |||
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| Aug 13, 2013 at 21:45 | comment | added | whuber♦ | Your first question may be a duplicate of stats.stackexchange.com/questions/22569, where you can find answers. Presumably "LDA" means Linear Discriminant Analysis (it has other statistical meanings too, which is why we try to expand acronyms). | |
| Aug 13, 2013 at 21:42 | history | asked | wrek | CC BY-SA 3.0 |