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* Scatterplot: small fix to selection updates
* ProjectionObserver: whenever CP selection changes, compute
influence of CPs over all RPs. Whenever RP selection changes,
compute influence of RPs by all CPs.
* ProjectionObserver: with empty selections, go back to normal mode
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Scatterplot brushing needs some improvement, feels clumsy.
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* Both components now support brushing (support in Scatterplot for
activating a brush is still incomplete, though it can be brushed
on by other components)
* Added a handler for linking the brushing between components
* Added crosshair geometry handler to geometry lib
* Fixed issue #15
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Bar charts are now exclusive to the type of points they are assigned
to (either CPs or RPs).
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* Projection metrics can be shown as current, diff to previous and
diff to original (original seems bugged, beware)
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* Modified main() function to connect signals/slots to display
calculated values
* Color scales are no longer shared; they are also normalized to
each component's own data
* Stub mouse handling in BarChart (changes cursor shape)
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* Color scale's extents are not changed: the values are supposed to
match the values used in the other plots
* Temporarily removed the bar outlines in order to properly display
colors when the number of bars is equal to or greater than the
number of available pixels to draw
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* Added screenshot action that saves two images: one of the main
view (plot + splat) and one of the bottom view (bar chart)
* Added methods/signals/slots to Scatterplot for handling glyph sizes
* Added methods/signals/slots to VoronoiSplat for handling the
alpha/beta parameters, which are now also no longer fixed
* Options panel:
- glyph sizes of both CPs and RPs
- splat opacity
- splat parameters (alpha & beta)
- color scale combo box currently does nothing
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* The Colormap component is a simple rect with a texture mapped
that displays a ColorScale with a fixed number of samples. This
number of samples is exported as a member const, which is used
on other components (such as VoronoiSplat).
* The texture mapping is reflecting the colormap lookup used in
VoronoiSplat.
* The ColorScale class now has a method for sampling the color
scale and outputs the samples to iterator-style objects,
providing easy intergration with existing code.
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The change was due to future functionality requirements, this
separation provides grater flexibility. As a nice side effect, the
cropping bug when first rendering the splat is now gone.
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* Multisampling setup code is now more conservative.
* Full plot's glyphs are now invisible by default.
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* Removed code that handles selection coordination between cpPlot
and full data plot from main
* Full plot has control points invisible (opacity = 0) by default
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* Added methods & signal/slots to handle auto/manual scaling
* The subsample plot is now scaled by the full data plot,
naturally superimposing them
* LAMP was corrected in order to always preserve the mapping of
the subsample
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* Also added calls to these new methods in main().
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* Subsample plot no longer displays splat
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* HistoryGraph replaced by BarChart
* HistoryGraph not removed from code, might be useful in the future
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* Added voronoi-like splatting to points: the same technique from
Messias et al., (2014)
* It is now possible to change the projection technique during
runtime (possible, but still requires some work)
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mp namespace.
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displaying the LAMP projection.
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differentiates between interactive and programatic changes in x/y data.
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- geometry.h for geometry calculation functions
- scale.h for implementations of scales (currently only the linear scale)
- updated main_view.qml for the new HistoryGraph component
- HistoryGraph displays each subsample used as a mini scatterplot (no colors
currently)
- Scatterplot now uses scale.h for transformations
- Code cleanup and some bug fixes
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- Selection linking between subsample plot and main plot
- Dumb "effectiveness" coloring
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- New continuous color scale class;
- Improvements in signal handler for calculating distortions;
- Implementation of the NP(k) measure.
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- Scatterplot: can now map any floating point data to colors;
- Scatterplot: somewhat optimized geometry/material updates;
- Removed anything related to labels where it was not necessary;
- Added observers to implement distortion (via measures) visualization;
- Added skeleton implementations of NP and silhouette.
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