Add to ORKGStatistical data have a tendency to cluster around some central point. How do we determine this point? Is there just one way of doing it or more than one
Given a set X of ``empirical" points, whose coordinates are perturbed by errors, we analyze whether ...
The performance of a diagnostic test is often expressed in terms of sensitivity and specificity comp...
In the first part of this chapter we detail center based clustering methods, namely methods based on...
Statistical data have a tendency to cluster around some central point. How do we determine this poin...
It is regarding the ways of measuring the central tendency -- a data value that represents the entir...
Examining the raw data is an essential first step before proceeding to statistical analysis. Thereaf...
International audienceOur main goal is to introduce three clustering functions based on the central ...
The measure of central tendency is the most commonly used tool in statistical data analysis. The abi...
Abstract. The goal of this paper is to discuss statistical aspects of clus-tering in a framework whe...
<p>Each horizontal line represents a single TCGA dataset, where the location of each dot along the <...
The goal of this paper is to discuss statistical aspects of clustering in a framework where the data...
Abstract. This talk is an attempt at structuring and systematising the develop-ment of clustering as...
Clustering seeks to group or to lump together objects or variables that share some observed qualitie...
The recent history of statistics is retraced by analyzing all the papers published in five prestigio...
The general area of this research is data clustering, in which an unsupervised classification proces...
Given a set X of ``empirical" points, whose coordinates are perturbed by errors, we analyze whether ...
The performance of a diagnostic test is often expressed in terms of sensitivity and specificity comp...
In the first part of this chapter we detail center based clustering methods, namely methods based on...
Statistical data have a tendency to cluster around some central point. How do we determine this poin...
It is regarding the ways of measuring the central tendency -- a data value that represents the entir...
Examining the raw data is an essential first step before proceeding to statistical analysis. Thereaf...
International audienceOur main goal is to introduce three clustering functions based on the central ...
The measure of central tendency is the most commonly used tool in statistical data analysis. The abi...
Abstract. The goal of this paper is to discuss statistical aspects of clus-tering in a framework whe...
<p>Each horizontal line represents a single TCGA dataset, where the location of each dot along the <...
The goal of this paper is to discuss statistical aspects of clustering in a framework where the data...
Abstract. This talk is an attempt at structuring and systematising the develop-ment of clustering as...
Clustering seeks to group or to lump together objects or variables that share some observed qualitie...
The recent history of statistics is retraced by analyzing all the papers published in five prestigio...
The general area of this research is data clustering, in which an unsupervised classification proces...
Given a set X of ``empirical" points, whose coordinates are perturbed by errors, we analyze whether ...
The performance of a diagnostic test is often expressed in terms of sensitivity and specificity comp...
In the first part of this chapter we detail center based clustering methods, namely methods based on...