Attribute space

The attribute space mathematically arranges AOIs (Aspects of Interest) in a space in order to be able to access information quickly. With object recognition , an object can be identified quickly and fast search functions are possible on the Internet .

The position of the object is determined in the attribute space (multi-dimensional information space ) by the attributes of interest. From a mathematical point of view, an attribute space is thus an n-dimensional cube, where n is the number of features of interest (AOI, Aspects of Interest).

example

To describe an object can u. a. the color can be used. If an object is green, the “green” attribute is set to the value 0. If the object is not green, the value of the “green” attribute is equal to 1. If the object is turquoise or purple, the value of the attribute is around 0.3 to 0.7, depending on the color. In this way, all features of the object are described and arranged in an attribute space.

literature

• Wolfgang Stegmüller: Personnel and Statistical Probability. First half volume, Springer Verlag, Berlin / Heidelberg 1973.
• Wolfgang Stegmüller: Carnap II. Normative theory of inductive reasoning, Springer Verlag, Berlin / Heidelberg 1973.

Web links

• Zoom techniques for the exploration of complex information spaces using the example of "HyperGrid" (accessed on January 19, 2018)
• Automatic parameter determination by gravity in subspace clustering (accessed January 19, 2018)