Cluster and discriminant analysis belong to basic classification methods. Using cluster analysis can be a disordered group of objects organized into several internally homogeneous classes or clusters. Discriminant analysis creates knowledge based on the jurisdiction of existing classes classification rule, which can be then used for classifying units with an unknown group membership. The aim of this thesis is a comparison of discriminant analysis and different methods of cluster analysis. To reflect the distances between objects within each cluster, squeared Euclidean and Mahalanobis distances are used. In total, there are 28 datasets analyzed in this thesis. In case of leaving correlated variables in the set and applying squared Euclidean ...
Clustering is an unsupervised learning technique which aims at grouping a set of objects into cluste...
Cluster analysis comprises of several unsupervised techniques aiming to identify a subgroup (cluster...
Abstract:The main aim of this review paper is to provide a comprehensive review of different cluster...
Cluster analysis is a popular method of multivariate statistics. Based on mutual similarities betwee...
Cluster analysis is one of the classification methods of multivariate statistical analysis. The task...
This thesis aims to compare the ability of selected cluster analysis methods concerning classifying ...
International audienceThis chapter deals with basic tools useful in clustering and classification an...
The aim of this thesis is to examine the cluster analysis ability segment the data set by selected m...
This thesis seeks to describe the development of an inexpensive and efficient clustering technique f...
Abstract — Clustering is a technique of data mining. It aims at finding natural partitioning of data...
Cluster analysis can not only cluster observations/cases into several groups but also cluster variab...
Cluster study or clustering is the assignment of assigning a set of data into groups called clusters...
Cluster analysis is a popular unsupervised learning method. Its goal is to find a partition of a dat...
Abstract: Clustering and classification of data is a difficult problem that is related to various fi...
Abstract The chapter by Milligan and Hirtle provides an overview of the current state of knowledge i...
Clustering is an unsupervised learning technique which aims at grouping a set of objects into cluste...
Cluster analysis comprises of several unsupervised techniques aiming to identify a subgroup (cluster...
Abstract:The main aim of this review paper is to provide a comprehensive review of different cluster...
Cluster analysis is a popular method of multivariate statistics. Based on mutual similarities betwee...
Cluster analysis is one of the classification methods of multivariate statistical analysis. The task...
This thesis aims to compare the ability of selected cluster analysis methods concerning classifying ...
International audienceThis chapter deals with basic tools useful in clustering and classification an...
The aim of this thesis is to examine the cluster analysis ability segment the data set by selected m...
This thesis seeks to describe the development of an inexpensive and efficient clustering technique f...
Abstract — Clustering is a technique of data mining. It aims at finding natural partitioning of data...
Cluster analysis can not only cluster observations/cases into several groups but also cluster variab...
Cluster study or clustering is the assignment of assigning a set of data into groups called clusters...
Cluster analysis is a popular unsupervised learning method. Its goal is to find a partition of a dat...
Abstract: Clustering and classification of data is a difficult problem that is related to various fi...
Abstract The chapter by Milligan and Hirtle provides an overview of the current state of knowledge i...
Clustering is an unsupervised learning technique which aims at grouping a set of objects into cluste...
Cluster analysis comprises of several unsupervised techniques aiming to identify a subgroup (cluster...
Abstract:The main aim of this review paper is to provide a comprehensive review of different cluster...