On Monday 09 of December 2013 14:29:21 you wrote:
> > Great! So, applied the diff. Here some numbers:
> >
> > PC1 238310.68 ( 0.1606, 0.2231, 0.1228, 0.9536) [96.10%]
> > PC2 9364.65 ( 0.4319, 0.5989, 0.6082,-0.2912) [ 3.78%]
> > PC3217.78 ( 0.7028, 0.1609,-0.6897,-0.0672) [ 0.09%]
> > PC4
On 07/12/13 17:46, Nikos Alexandris wrote:
Moritz Lennert wrote:
..
Try the attached diff to imagery/i.pca/main.c.
Great! So, applied the diff. Here some numbers:
PC1 238310.68 ( 0.1606, 0.2231, 0.1228, 0.9536) [96.10%]
PC2 9364.65 ( 0.4319, 0.5989, 0.6082,-0.2912) [ 3.78%]
PC3217.78 (
On Thu, Dec 5, 2013 at 1:15 PM, Nikos Alexandris
wrote:
> Nikos Alexandris:
>> > ...we need those extra digits to make it easy rejecting last Principal
>> > Component(s) prior to the backward PCA. Might be one, two or numerous (?)
>> > depending on the dimensions.
>
> Markus M:
>> I think it rathe
Moritz Lennert wrote:
..
> Try the attached diff to imagery/i.pca/main.c.
Great! So, applied the diff. Here some numbers:
PC1 238310.68 ( 0.1606, 0.2231, 0.1228, 0.9536) [96.10%]
PC2 9364.65 ( 0.4319, 0.5989, 0.6082,-0.2912) [ 3.78%]
PC3217.78 ( 0.7028, 0.1609,-0.6897,-0.0672) [ 0.09%]
PC4
Nikos Alexandris:
> > ...we need those extra digits to make it easy rejecting last Principal
> > Component(s) prior to the backward PCA. Might be one, two or numerous (?)
> > depending on the dimensions.
Markus M:
> I think it rather depends in the amount of information encoded in each PC.
It doe
Nikos A:
> > Sorry for the noise. Then I need to see why the rescaling is not getting
> > at [0,255].
Markus M:
> Rescaling applies to PC scores. With filtering, the output is not PC
> scores, but a filtered version of the input. If you want the filtered
> output to be rescaled, please use r.recod
On Wed, Dec 4, 2013 at 11:46 PM, Nikos Alexandris
wrote:
> Nikos Alexandris:
>> > Here, immediate effect when percent=99.68. I guess it gets rounded to
>> > 99.7 ?
>
> Moritz Lennert:
>> Actually, the man page says "percent=integer". The input is treated with
>> atoi(). I don't know if that round
On Wed, Dec 4, 2013 at 3:42 PM, Nikos Alexandris
wrote:
> Nikos Alexandris wrote:
>> > > > 1) I can't see any differences in the derived Principal Components
> ..
>> > okay, to clarify: I mean the resulting images which, initially are
>> > Principal Components (synthetic images) and, after applyin
On 04/12/13 22:02, Moritz Lennert wrote:
On 04/12/13 16:18, Nikos Alexandris wrote:
Here, immediate effect when percent=99.68. I guess it gets rounded to
99.7 ?
Actually, the man page says "percent=integer". The input is treated with
atoi(). I don't know if that rounds or floors..
For th
On 04/12/13 23:46, Nikos Alexandris wrote:
Nikos Alexandris:
Here, immediate effect when percent=99.68. I guess it gets rounded to
99.7 ?
Moritz Lennert:
Actually, the man page says "percent=integer". The input is treated with
atoi(). I don't know if that rounds or floors..
Heck, overlooke
Nikos Alexandris:
> > Here, immediate effect when percent=99.68. I guess it gets rounded to
> > 99.7 ?
Moritz Lennert:
> Actually, the man page says "percent=integer". The input is treated with
> atoi(). I don't know if that rounds or floors..
Heck, overlooked that :-(. In my very humble and ev
On 04/12/13 16:18, Nikos Alexandris wrote:
Here, immediate effect when percent=99.68. I guess it gets rounded to 99.7 ?
Actually, the man page says "percent=integer". The input is treated with
atoi(). I don't know if that rounds or floors..
Moritz
___
Moritz Lennert wrote:
> Which components are used ? IIUC, in both cases it will be PCs 1 and 2 as
> PC1 < 70% and PC1 + PC2 > 90%
Absolutely true (see previous post, I didn't cc you :(). Yet, consider the
following cases (just to justify why I started this thread):
1) Centered and Scaled with:
On 04/12/13 15:34, Nikos Alexandris wrote:
On Wednesday 04 of December 2013 16:22:51 Nikos Alexandris wrote:
Nikos Alexandris wrote:
The i.pca module in G7 offers a "forward/filtering/backward" PCA. I
have
an issue first with filtering and second with rescaling.
1) I can't see any differences
Nikos Alexandris wrote:
> > > > 1) I can't see any differences in the derived Principal Components
..
> > okay, to clarify: I mean the resulting images which, initially are
> > Principal Components (synthetic images) and, after applying filtering &
> > backward PCA, the resulting images approach th
On 04/12/13 15:22, Nikos Alexandris wrote:
Nikos Alexandris wrote:
The i.pca module in G7 offers a "forward/filtering/backward" PCA. I have
an issue first with filtering and second with rescaling.
1) I can't see any differences in the derived Principal Components
okay, to clarify: I mean
On Wednesday 04 of December 2013 16:22:51 Nikos Alexandris wrote:
> Nikos Alexandris wrote:
> > > The i.pca module in G7 offers a "forward/filtering/backward" PCA. I
> > > have
> > > an issue first with filtering and second with rescaling.
> > >
> > > 1) I can't see any differences in the derived
Nikos Alexandris wrote:
> > The i.pca module in G7 offers a "forward/filtering/backward" PCA. I have
> > an issue first with filtering and second with rescaling.
> > 1) I can't see any differences in the derived Principal Components
okay, to clarify: I mean the resulting images which, initiall
On 04/12/13 14:53, Nikos Alexandris wrote:
Hi list and Markus.
The i.pca module in G7 offers a "forward/filtering/backward" PCA. I have an
issue first with filtering and second with rescaling.
1) I can't see any differences in the derived Principal Components between
percent=70 and percent=99
Hi list and Markus.
The i.pca module in G7 offers a "forward/filtering/backward" PCA. I have an
issue first with filtering and second with rescaling.
1) I can't see any differences in the derived Principal Components between
percent=70 and percent=99 for 4 bands which the PCs (both centered a
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