Distance-driven adaptive trees in biological metric spaces: Uninformed accretion does not prevent convergence

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Volumn 367, Issue 1908, 2009, Pages 4967-4986

  Kergosien, Yannick Louis ^a,b  

^a UNIVERSITÉ DE CERGY PONTOISE   (France)

^b UNIVERSITÉ PARIS 13   (France)

Author keywords

Adaptive; Evolution; Fractal; Self organizing; Stochastic; Tree

Indexed keywords

BINARY TREES; CONFORMAL MAPPING; FRACTALS; MEDICAL IMAGING; SET THEORY; STOCHASTIC SYSTEMS; TARGETS; TOPOLOGY;

ADAPTIVE; ADAPTIVE EVOLUTION; ADAPTIVE TREE; ARTIFICIAL VISION; BINARY SEARCH TREES; BIOLOGICAL MODELLING; BRANCHING POINTS; HIGH DIMENSIONAL SPACES; INTERVENTIONAL; METRIC SPACES; RANDOM POINTS; SELF ORGANIZING; STOCHASTIC ALGORITHMS; TARGET POINT;

SELF ORGANIZING MAPS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; MODELS, BIOLOGICAL;

EID: 73349109799     PISSN: 1364503X     EISSN: None     Source Type: Journal    
DOI: 10.1098/rsta.2009.0146     Document Type: Article

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