Performance Analysis
Since CurveIx does not guarantee to deliver the k-NN
among its candidates, we set an "acceptable" accuracy level of 90%.
In other words, CurveIx must deliver 0.9 k nearest-neighbours
to be considered useful.
Our initial concern has been to answer the questions:
-
How many curves are needed to achieve 90% accuracy?
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How many curve-neighbours do we need to examine?
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Can all of this be done reasonably efficiently?
So far, preliminary answers are only avaliable for 256-d
QBIC color histograms:
- around 80-100
- around 15-30
- not particularly ... yet
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