- similarity measure algorithm
- 相似性测量算法
Medical Chinese dictionary (湘雅医学词典). 2013.
Medical Chinese dictionary (湘雅医学词典). 2013.
Semantic similarity — or semantic relatedness is a concept whereby a set of documents or terms within term lists are assigned a metric based on the likeness of their meaning / semantic content. Concretely, this can be achieved for instance by defining a topological… … Wikipedia
Smith-Waterman algorithm — The Smith Waterman algorithm is a well known algorithm for performing local sequence alignment; that is, for determining similar regions between two nucleotide or protein sequences. Instead of looking at the total sequence, the Smith Waterman… … Wikipedia
Genetic algorithm — A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of… … Wikipedia
Neural modeling fields — Neural modeling field (NMF) is a mathematical framework for machine learning which combines ideas from neural networks, fuzzy logic, and model based recognition. It has also been referred to as modeling fields, modeling fields theory (MFT),… … Wikipedia
Consensus clustering — Clustering is the assignment of objects into groups (called clusters) so that objects from the same cluster are more similar to each other than objects from different clusters. Often similarity is assessed according to a distance measure.… … Wikipedia
Community structure — In the study of complex networks, a network is said to have community structure if the nodes of the network can be easily grouped into (potentially overlapping) sets of nodes such that each set of nodes is densely connected internally. In the… … Wikipedia
SimRank — is a general similarity measure, based on a simple and intuitive graph theoretic model.SimRank is applicable in any domain with object to object relationships, that measures similarity of the structural context in which objects occur, based on… … Wikipedia
Image registration — Registering and summing multiple exposures of the same scene improves signal to noise ratio, allowing to see things previously impossible to see. In this picture, the distant Alps are made visible, although they are tens of kilometers into the… … Wikipedia
Biclustering — Biclustering, co clustering, or two mode clustering[1] is a data mining technique which allows simultaneous clustering of the rows and columns of a matrix. The term was first introduced by Mirkin[2] (recently by Cheng and Church[3] in gene… … Wikipedia
Travelling salesman problem — The travelling salesman problem (TSP) is an NP hard problem in combinatorial optimization studied in operations research and theoretical computer science. Given a list of cities and their pairwise distances, the task is to find a shortest… … Wikipedia
Metric tree — This article is about the data structure. For the type of metric space, see Real tree. A metric tree is any tree data structure specialized to index data in metric spaces. Metric trees exploit properties of metric spaces such as the triangle… … Wikipedia