Add to ORKGThis work describes the basic methods and algorithms for determining the measure of similarity. We identified two promising methods for determining the similarity measure of polynomials, namely the function of the correlation coefficient and functions based on the Hausdorff metric. The analysis of the main measure distances (metrics) is represented
Correlation clustering is a widely used technique in data mining. The clusters contain objects, whic...
Cluster analysis is a popular method of multivariate statistics. Based on mutual similarities betwee...
Similarity or distance measures are core components used by distance-based clustering algorithms to ...
This work describes the basic methods and algorithms for determining the measure of similarity. We i...
The main functions of the metric and correlation are disclosed in the article. The analysis of Hausd...
Methods of data analysis and automatic processing are treated as knowledge discovery. In many cases ...
Clustering is an unsupervised learning technique which aims at grouping a set of objects into cluste...
Abstract The task of clustering is to identify classes of similar objects among a set of objects. Th...
Copyright © 2009 Polish Academy of Sciences.Cluster analysis or classification usually concerns a se...
AbstractA cluster analysis classifies objects on the basis that similarity of objects in cluster is ...
Clustering is a useful technique that organizes a large quantity of unordered datasets into a small ...
For using Data Mining, especially cluster analysis, one needs measures to determine the similarity o...
There are numerous binary similarity measures. Different binary similarity measures estimate differe...
We discuss definitions and properties of similarity and dissimilarity coefficients, including their ...
This thesis seeks to describe the development of an inexpensive and efficient clustering technique f...
Correlation clustering is a widely used technique in data mining. The clusters contain objects, whic...
Cluster analysis is a popular method of multivariate statistics. Based on mutual similarities betwee...
Similarity or distance measures are core components used by distance-based clustering algorithms to ...
This work describes the basic methods and algorithms for determining the measure of similarity. We i...
The main functions of the metric and correlation are disclosed in the article. The analysis of Hausd...
Methods of data analysis and automatic processing are treated as knowledge discovery. In many cases ...
Clustering is an unsupervised learning technique which aims at grouping a set of objects into cluste...
Abstract The task of clustering is to identify classes of similar objects among a set of objects. Th...
Copyright © 2009 Polish Academy of Sciences.Cluster analysis or classification usually concerns a se...
AbstractA cluster analysis classifies objects on the basis that similarity of objects in cluster is ...
Clustering is a useful technique that organizes a large quantity of unordered datasets into a small ...
For using Data Mining, especially cluster analysis, one needs measures to determine the similarity o...
There are numerous binary similarity measures. Different binary similarity measures estimate differe...
We discuss definitions and properties of similarity and dissimilarity coefficients, including their ...
This thesis seeks to describe the development of an inexpensive and efficient clustering technique f...
Correlation clustering is a widely used technique in data mining. The clusters contain objects, whic...
Cluster analysis is a popular method of multivariate statistics. Based on mutual similarities betwee...
Similarity or distance measures are core components used by distance-based clustering algorithms to ...