Add to ORKGThe data clustering is a common technique for statistical data analysis.The task is to group objects such that data inside each cluster models the continuity of some environment, while separate clusters model variation over it. CORSO is a method to discover clusters of structured objects possibly related each other according to some relation defining a discrete data structure. Clusters are built by merging partially overlapping neighborhoods of objects, which result homogeneous with respect to the cluster description. The quality of clusters depends on the evaluation of cluster homogeneity as well as the selection of the seeds of the neighborhoods. To face these issues, we illustrate some innovations in CORSO whose validity is confir...
Cluster Analysis aims at finding subsets (clusters) of a given set of entities, which are homogeneou...
In clustering, one may be interested in the classification of similar objects into groups, and one m...
Abstract---- Clustering is process for finding similarity groups in data. It is considered as unsupe...
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...
Clustering is a fundamental task in Spatial Data Mining where data consists of observations for a s...
CORSO is a method to discover clusters of structured objects related each other according to some s...
Clustering seeks to group or to lump together objects or variables that share some observed qualitie...
Clustering is a technique which aims to partition a given dataset of objects into groups of similar ...
CORSO is a graph-partitioning algorithm to capture spatial continuity of some envi- ronment, that i...
Clustering is the task of organizing a set of objects into meaningful groups. These groups can be di...
ia that provide significant distinctions between clustering methods and can help selecting appropria...
In this paper we propose a novel spatial clustering method, named CORSO, that resorts to a relationa...
Clustering algorithms divide data into meaningful or useful groups, called clusters, such that the i...
Research on the problem of clustering tends to be fragmented across the pattern recognition, databas...
Cluster Analysis aims at finding subsets (clusters) of a given set of entities, which are homogeneou...
In clustering, one may be interested in the classification of similar objects into groups, and one m...
Abstract---- Clustering is process for finding similarity groups in data. It is considered as unsupe...
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...
Clustering is a fundamental task in Spatial Data Mining where data consists of observations for a s...
CORSO is a method to discover clusters of structured objects related each other according to some s...
Clustering seeks to group or to lump together objects or variables that share some observed qualitie...
Clustering is a technique which aims to partition a given dataset of objects into groups of similar ...
CORSO is a graph-partitioning algorithm to capture spatial continuity of some envi- ronment, that i...
Clustering is the task of organizing a set of objects into meaningful groups. These groups can be di...
ia that provide significant distinctions between clustering methods and can help selecting appropria...
In this paper we propose a novel spatial clustering method, named CORSO, that resorts to a relationa...
Clustering algorithms divide data into meaningful or useful groups, called clusters, such that the i...
Research on the problem of clustering tends to be fragmented across the pattern recognition, databas...
Cluster Analysis aims at finding subsets (clusters) of a given set of entities, which are homogeneou...
In clustering, one may be interested in the classification of similar objects into groups, and one m...
Abstract---- Clustering is process for finding similarity groups in data. It is considered as unsupe...