Subtitle:

Raport Badawczy = Research Report ; RB/63/2013

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Description:

13 pages ; 21 cm ; Bibliography p. 13

Abstract:

Properties of objects can be specified by a set of attributes which values can be symbolic. Defining a good measure of proximity (or remoteness) between objects is crucial importance in applied research like data mining or machine learning. The proposed approach is based on the theory of multisets. The article defines a group of objects with nominal description as a K-tuple of multisets (i.e., an ordered collection of multisets). There are introduced the following definitions: perturbation of multisets' for each attribute and a measure of groups' perturbations. The measure of peturbation is assumed to return a value from [0,1], where 1 is interpreted as the most level of perturbation, while 0 is the lowest level of peturbation. In general these two measures are different, asymmetrical, so they should not be considered as the distance between the groups.

Relation:

Raport Badawczy = Research Report

Detailed Resource Type:

Report

Resource Identifier:

oai:rcin.org.pl:109185

Source:

RB-2013-63

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open