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In the natural sciences, a vector quantity (also known as a vector physical quantity, physical vector, or simply vector) is a vector-valued physical quantity. [9] [10] It is typically formulated as the product of a unit of measurement and a vector numerical value (), often a Euclidean vector with magnitude and direction.
A vector database, vector store or vector search engine is a database that can store vectors (fixed-length lists of numbers) along with other data items. Vector databases typically implement one or more Approximate Nearest Neighbor algorithms, [1] [2] [3] so that one can search the database with a query vector to retrieve the closest matching database records.
Vector, a one-dimensional array data structure. Distance-vector routing protocol, a class of routing protocols; Dope vector, a data structure used to store information about an array; Feature vector, an n-dimensional vector of numerical features that represent some object; Interrupt vector, the location in memory of an interrupt handling routine
The shapefile format is a geospatial vector data format for geographic information system (GIS) software.It is developed and regulated by Esri as a mostly open specification for data interoperability among Esri and other GIS software products. [1]
I/Q data is a two-dimensional stream. Some sources treat I/Q as a complex number; [1] with the I and Q components corresponding to the real and imaginary parts. Others treat it as distinct pairs of values, as a 2D vector, or as separate streams. When called "I/Q data" the information is likely digital.
In pattern recognition and machine learning, a feature vector is an n-dimensional vector of numerical features that represent some object. Many algorithms in machine learning require a numerical representation of objects, since such representations facilitate processing and statistical analysis.
The Vector Map (VMAP), also called Vector Smart Map, is a vector-based collection of geographic information system (GIS) data about Earth at various levels of detail. Level 0 (low resolution) coverage is global and entirely in the public domain. Level 1 (global coverage at medium resolution) is only partly in the public domain.
A hybrid topological data model has the option of storing topological relationship information as a separate layer built on top of a spaghetti data set. An example is the network dataset within the Esri geodatabase. [23] Vector data are commonly used to represent conceptual objects (e.g., trees, buildings, counties), but they can also represent ...