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added TODO comments
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@@ -301,6 +301,10 @@ public class ManeuverBasedWindEstimationTrackImpl extends WindTrackImpl {
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Set<ManeuverClassification> maneuverClassifications = getManeuverClassifications(maneuvers);
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// Now cluster the maneuvers by estimated maneuver angle
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// constrain the clustering to those maneuvers that are sufficiently close to the expected maneuver angle
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// TODO cluster into eight clusters by middle COG first, then aggregate tack likelihoods for each, and jibe likelihoods for opposite cluster
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// TODO compare weighted speed average for tack and jibe cluster candidates and let polar service assign probability for the ratio
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// TODO determine confidence of tack cluster being the tack cluster by comparing ratings against other cluster pairs
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// TODO create wind fixes from tack and jibe cluster maneuvers (optionally with a threshold for minimum confidence of the maneuver being what it was guessed to be)
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KMeansMappingClusterer<ManeuverClassification, DoublePair, Bearing, ScalableBearing> clusterer =
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new KMeansMappingClusterer<>(4,
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maneuverClassifications.stream().filter(
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