Add to ORKGIn this paper the notion of conceptual cohesiveness is precised and used to group objects semantically, based on a knowledge structure called ‘cohesion forest’. A set of axioms is proposed which should be satisfied to make the generated clusters meaningful
Clustering seeks to group or to lump together objects or variables that share some observed qualitie...
In this paper, we tackle the problem of clustering individual resources in the context of the Web of...
two lights. Conceptual Clustering methods may be viewed as extensions to techniques of numerical tax...
In the knowledge-based clustering approaches reported in the literature, explicit know ledge, typica...
3 An important structuring mechanism for knowledge bases is building an inheritance hierarchy of cl...
The primary objective of this thesis is to develop a methodology for clustering of objects based on ...
Clustering is a technique which aims to partition a given dataset of objects into groups of similar ...
Clustering is the task of organizing a set of objects into meaningful groups. These groups can be di...
Work in conceptual clustering has focused on creating classes from objects with a fixed set of featu...
AbstractA method for object aggregation and cluster identification has been proposed for knowledge d...
Classical clustering algorithms are sufficiently well studied, they are used for grouping numerical ...
208 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1984.This thesis describes a machi...
In this paper we deal with data stated under the form of a binary relation between objects and prope...
Clustering algorithm tasks are used to group given objects defined by a set of numerical properties ...
We describe a clustering technique that can exploit a large body of knowledge. An algorithm to clust...
Clustering seeks to group or to lump together objects or variables that share some observed qualitie...
In this paper, we tackle the problem of clustering individual resources in the context of the Web of...
two lights. Conceptual Clustering methods may be viewed as extensions to techniques of numerical tax...
In the knowledge-based clustering approaches reported in the literature, explicit know ledge, typica...
3 An important structuring mechanism for knowledge bases is building an inheritance hierarchy of cl...
The primary objective of this thesis is to develop a methodology for clustering of objects based on ...
Clustering is a technique which aims to partition a given dataset of objects into groups of similar ...
Clustering is the task of organizing a set of objects into meaningful groups. These groups can be di...
Work in conceptual clustering has focused on creating classes from objects with a fixed set of featu...
AbstractA method for object aggregation and cluster identification has been proposed for knowledge d...
Classical clustering algorithms are sufficiently well studied, they are used for grouping numerical ...
208 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1984.This thesis describes a machi...
In this paper we deal with data stated under the form of a binary relation between objects and prope...
Clustering algorithm tasks are used to group given objects defined by a set of numerical properties ...
We describe a clustering technique that can exploit a large body of knowledge. An algorithm to clust...
Clustering seeks to group or to lump together objects or variables that share some observed qualitie...
In this paper, we tackle the problem of clustering individual resources in the context of the Web of...
two lights. Conceptual Clustering methods may be viewed as extensions to techniques of numerical tax...