Finding Curvilinear Features in Spatial Point Patterns: Principal Curve Clustering with Noise.
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2000
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Finding Curvilinear Features in Spatial Point Patterns: Principal Curve Clustering with Noise.
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dc:
subject
Bayes factor, BIC, CEM algorithm, earthquake, EM algorithm, Hough transform, model-based clustering, smoothing, spatial point process, visual defect metrology.
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Finding Curvilinear Features in Spatial Point Patterns: Principal Curve Clustering with Noise.
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