AbstractA cluster analysis classifies objects on the basis that similarity of objects in cluster is as high as possible, and simultaneously, similarity of cluster is as low as possible. This article deals with the comparation of cluster analysis methods and of measure of objects similarity (dissimilarity). Cluster analysis is a multidimensional method of the experimental modeling
Correlation clustering is a widely used technique in data mining. The clusters contain objects, whic...
In this article, we study the notion of similarity within the context of cluster analysis. We begin ...
This book explains and illustrates the most frequently used methods of hierarchical cluster analysis...
Cluster analysis is a popular method of multivariate statistics. Based on mutual similarities betwee...
Clustering is an unsupervised learning technique which aims at grouping a set of objects into cluste...
Three cluster analysis programs were used to group the same 64 individuals, generated so as to repre...
Methods of data analysis and automatic processing are treated as knowledge discovery. In many cases ...
This thesis aims to compare the ability of selected cluster analysis methods concerning classifying ...
Cluster and discriminant analysis belong to basic classification methods. Using cluster analysis can...
Abstract---- Clustering is process for finding similarity groups in data. It is considered as unsupe...
Clustering is the process of grouping a set ofphysical or abstract objects into classes of similarob...
In the age of data science, the clustering of various types of objects (e.g., documents, genes, cust...
This work describes the basic methods and algorithms for determining the measure of similarity. We i...
AbstractThis paper proposes a joint scaling and clustering method for dissimilarity (or similarity) ...
Cluster analysis is one of the classification methods of multivariate statistical analysis. The task...
Correlation clustering is a widely used technique in data mining. The clusters contain objects, whic...
In this article, we study the notion of similarity within the context of cluster analysis. We begin ...
This book explains and illustrates the most frequently used methods of hierarchical cluster analysis...
Cluster analysis is a popular method of multivariate statistics. Based on mutual similarities betwee...
Clustering is an unsupervised learning technique which aims at grouping a set of objects into cluste...
Three cluster analysis programs were used to group the same 64 individuals, generated so as to repre...
Methods of data analysis and automatic processing are treated as knowledge discovery. In many cases ...
This thesis aims to compare the ability of selected cluster analysis methods concerning classifying ...
Cluster and discriminant analysis belong to basic classification methods. Using cluster analysis can...
Abstract---- Clustering is process for finding similarity groups in data. It is considered as unsupe...
Clustering is the process of grouping a set ofphysical or abstract objects into classes of similarob...
In the age of data science, the clustering of various types of objects (e.g., documents, genes, cust...
This work describes the basic methods and algorithms for determining the measure of similarity. We i...
AbstractThis paper proposes a joint scaling and clustering method for dissimilarity (or similarity) ...
Cluster analysis is one of the classification methods of multivariate statistical analysis. The task...
Correlation clustering is a widely used technique in data mining. The clusters contain objects, whic...
In this article, we study the notion of similarity within the context of cluster analysis. We begin ...
This book explains and illustrates the most frequently used methods of hierarchical cluster analysis...