weighted distance

См. также в других словарях:

• Weighted clothing — is the adding of weight to various parts of the body through attaching weighted pieces to the body which leave the hands free to grasp. Unlike with held weights or machines, the user is generally more apt for normal movement. In some cases… …   Wikipedia

• Distance matrices in phylogeny — Distance matrices are used in phylogeny as non parametric distance methods were originally applied to phenetic data using a matrix of pairwise distances. These distances are then reconciled to produce a tree (a phylogram, with informative branch… …   Wikipedia

• Weighted mean — The weighted mean is similar to an arithmetic mean (the most common type of average), where instead of each of the data points contributing equally to the final average, some data points contribute more than others. The notion of weighted mean… …   Wikipedia

• Distance-hereditary graph — A distance hereditary graph. In graph theoretic mathematics, a distance hereditary graph (also called a completely separable graph)[1] is a graph in which the distances in any connected induced subgraph are the same as they are in the original… …   Wikipedia

• Minimum distance estimation — (MDE) is a statistical method for fitting a mathematical model to data, usually the empirical distribution. Contents 1 Definition 2 Statistics used in estimation 2.1 Chi square criterion …   Wikipedia

• Smallest circle problem — The smallest circle problem or minimum covering circle problem is a mathematical problem of computing the smallest circle that contains all of a given set of points in the Euclidean plane. The corresponding problem in n dimensional space, the… …   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

• multi-dimensional scaling — Often, a set of data (for example attitude items) cannot be represented in one dimension, such as in a unidimensional scale or factor analysis. The items may then be modified or selected, so that they can be so represented (as in item analysis… …   Dictionary of sociology

• K-means algorithm — The k means algorithm is an algorithm to cluster n objects based on attributes into k partitions, k < n. It is similar to the expectation maximization algorithm for mixtures of Gaussians in that they both attempt to find the centers of natural… …   Wikipedia

• GWDT — gray weighted distance transformation [imaging] …   Medical dictionary

• GWDT — • gray weighted distance transformation [imaging] …   Dictionary of medical acronyms & abbreviations