qudt:Vector| Predicate | Object |
|---|---|
rdf:type |
owl:Class |
rdf:type |
rdfs:Class |
rdf:type |
sh:NodeShape |
dcterms:description |
A Vector is an array data type that can have a dimensionality of one, or more elements. Vectors can represent physical quantities, such as velocity, force, displacement; mathematical objects such as points or directions in space; and abstract representations for things such as colors, features, or embeddings in computational contexts. As a one-dimensional mathematical object it can represent a quantity with both magnitude and direction in space. One-dimensional vectors can be thought of as a special case of a 1D array. For example a 3D vector can be expressed as a list of coordinates: [x,y,z]. A vector in n-dimensional space can represent a point, a direction, or a linear combination of basis vectors. Vectors can represent quantifiable values. For example a car moving at 60 m/hr to the north, assuming north is along the y-axis, can be represented in 2D as:
In machine learning a Feature Vector can be expressed for a dataset entry as:
In AI for text processing a Word Embedding Vector is expressed as a N-dimensional space, where N can be a large number. |
rdfs:isDefinedBy |
http://qudt.org/3.5.2/schema/datatype |
rdfs:isDefinedBy |
http://qudt.org/3.5.2/schema/shacl/datatype |
rdfs:label |
“Vector” |
rdfs:subClassOf |
qudt:Array |
rdfs:subClassOf |
|
sh:property |
qudt:MaybeQuantityPropertyShape |
sh:property |
qudt:QuantityKindsPropertyShape |