Nearest neighbor search — (NNS), also known as proximity search, similarity search or closest point search, is an optimization problem for finding closest points in metric spaces. The problem is: given a set S of points in a metric space M and a query point… … Wikipedia
Nearest-neighbor interpolation — (blue lines) in one dimension on a (uniform) dataset (red points) … Wikipedia
Nearest-Neighbor-Heuristik — Die Nearest Neighbor Heuristik ist ein heuristisches Eröffnungsverfahren aus der Graphentheorie und wird unter Anderem zur Approximation einer Lösung des Problem des Handlungsreisenden verwendet. Von einem Knoten als Startpunkt ausgehend wird die … Deutsch Wikipedia
Nearest-neighbor chain algorithm — In the theory of cluster analysis, the nearest neighbor chain algorithm is a method that can be used to perform several types of agglomerative hierarchical clustering, using an amount of memory that is linear in the number of points to be… … Wikipedia
Nearest neighbor graph — A nearest neighbor graph of 100 points in the Euclidean plane. The nearest neighbor graph (NNG) for a set of n objects P in a metric space (e.g., for a set of points in the plane with Euclidean distance) is a directed graph with P being its… … Wikipedia
nearest neighbor sequence analysis — a technique for determining the nearest neighbor frequency (q.v.) for a nucleic acid; one nucleotide at a time, radioactive labeling of a nucleotide is followed by enzymatic digestion that transfers the label to the 3′ adjacent nucleotide,… … Medical dictionary
nearest neighbor sequence — the sequence determined by nearest neighbor sequence analysis … Medical dictionary
k-nearest neighbor algorithm — KNN redirects here. For other uses, see KNN (disambiguation). In pattern recognition, the k nearest neighbor algorithm (k NN) is a method for classifying objects based on closest training examples in the feature space. k NN is a type of instance… … Wikipedia
K-nearest neighbor algorithm — In pattern recognition, the k nearest neighbor algorithm ( k NN) is a method for classifying objects based on closest training examples in the feature space. k NN is a type of instance based learning, or lazy learning where the function is only… … Wikipedia
K-Nearest-Neighbor — K Nächste Nachbarn in einer zweidimensionalen Punktmenge mit k=1 (dunkelblau) und k=5 (hellblau). Der Radius der Kreise ist nicht fest. Die Nächste Nachbarn Klassifikation ist eine parameterfreie Methode zur Schätzung von… … Deutsch Wikipedia
