Add to ORKGIn this paper we propose a novel spatial clustering method, named CORSO, that resorts to a relational approach to mine relational data describing the structure that is naturally embedded in spatial data. However, differently from existing relational clustering methods, CORSO is able to mine not only relational data describing spatial data, but also relational constraints forming the discrete spatial structure on the objects to be clustered. An application to real-world spatial data is reported
Abstract. In this paper, we propose a new spatial clustering method, called DBRS+, which aims to clu...
Spatial data mining is the discovery of inter-esting relationships and characteristics that may exis...
In this paper, a novel clustering algorithm is proposed to address the clustering problem within bot...
In this paper we propose a novel spatial clustering method, named CORSO, that resorts to a relationa...
Clustering is a fundamental task in Spatial Data Mining where data consists of observations for a si...
The data clustering is a common technique for statistical data analysis.The task is to group objects...
Clustering is a data mining task to group objects such that data inside each cluste model the contin...
An Overview of known spatial clustering algorithms The space of interest can be the two-dimensional ...
CORSO is a graph-partitioning algorithm to capture spatial continuity of some envi- ronment, that i...
Abstract. The rapid growth in the amount of spatial data available in Geographical Information Syste...
Spatial classification is the task of learning models to predict class labels based on the features ...
Two types of data are used in pattern recognition, object and relational data. Object data is the mo...
Remote sensing and mobile devices nowadays collect a huge amount of spatial data which have to be a...
Regionalisation, a prominent problem from social geography, could be solved by a classification algo...
Remote sensing and mobile devices nowadays collect a huge amount of spatial data, which have to be a...
Abstract. In this paper, we propose a new spatial clustering method, called DBRS+, which aims to clu...
Spatial data mining is the discovery of inter-esting relationships and characteristics that may exis...
In this paper, a novel clustering algorithm is proposed to address the clustering problem within bot...
In this paper we propose a novel spatial clustering method, named CORSO, that resorts to a relationa...
Clustering is a fundamental task in Spatial Data Mining where data consists of observations for a si...
The data clustering is a common technique for statistical data analysis.The task is to group objects...
Clustering is a data mining task to group objects such that data inside each cluste model the contin...
An Overview of known spatial clustering algorithms The space of interest can be the two-dimensional ...
CORSO is a graph-partitioning algorithm to capture spatial continuity of some envi- ronment, that i...
Abstract. The rapid growth in the amount of spatial data available in Geographical Information Syste...
Spatial classification is the task of learning models to predict class labels based on the features ...
Two types of data are used in pattern recognition, object and relational data. Object data is the mo...
Remote sensing and mobile devices nowadays collect a huge amount of spatial data which have to be a...
Regionalisation, a prominent problem from social geography, could be solved by a classification algo...
Remote sensing and mobile devices nowadays collect a huge amount of spatial data, which have to be a...
Abstract. In this paper, we propose a new spatial clustering method, called DBRS+, which aims to clu...
Spatial data mining is the discovery of inter-esting relationships and characteristics that may exis...
In this paper, a novel clustering algorithm is proposed to address the clustering problem within bot...