We discuss definitions and properties of similarity and dissimilarity coefficients, including their metric and Euclidean status. Among the plethora of available coefficients, we give details of some of the more commonly used with binary and quantitative variables. First, we discuss measures for evaluating similarity between a pair of units, showing that some coefficients are monotonic functions of each other and that many coefficients are particular instances of an overall measure of similarity. We end with measures that can be used to assess interpopulation similarity
In this paper we list a number of similarity measures, some of which are not well known (such as the...
2 × 2 tables are encountered in various scientific disciplines, including biomedical, social and beh...
In this paper a dissimilarity index between statistical populations is pro-posed without the hypothe...
We discuss definitions and properties of similarity and dissimilarity coefficients, including their ...
AbstractSimilarity and dissimilarity measures are widely used in many research areas and application...
Intuitively, the concept of similarity is the notion to measure an inexact matching between two enti...
The power transformation that turns an arbitrary even dissimilarity into a semidistance or a definit...
In data mining, the task-specific performances of conventional distance-based similarity measures va...
The binary feature vector is one of the most common representations of patterns and measuring simila...
Similarity or distance measures are core components used by distance-based clustering algorithms to ...
There are at least two traditional conceptions of numerical degree of similarity. According to the f...
We explore the relations between the notion of distance and a feature set–based concept of similarit...
There are numerous binary similarity measures. Different binary similarity measures estimate differe...
The main functions of the metric and correlation are disclosed in the article. The analysis of Hausd...
International audienceThere are many measures of dissimilarity that, depending on the application, d...
In this paper we list a number of similarity measures, some of which are not well known (such as the...
2 × 2 tables are encountered in various scientific disciplines, including biomedical, social and beh...
In this paper a dissimilarity index between statistical populations is pro-posed without the hypothe...
We discuss definitions and properties of similarity and dissimilarity coefficients, including their ...
AbstractSimilarity and dissimilarity measures are widely used in many research areas and application...
Intuitively, the concept of similarity is the notion to measure an inexact matching between two enti...
The power transformation that turns an arbitrary even dissimilarity into a semidistance or a definit...
In data mining, the task-specific performances of conventional distance-based similarity measures va...
The binary feature vector is one of the most common representations of patterns and measuring simila...
Similarity or distance measures are core components used by distance-based clustering algorithms to ...
There are at least two traditional conceptions of numerical degree of similarity. According to the f...
We explore the relations between the notion of distance and a feature set–based concept of similarit...
There are numerous binary similarity measures. Different binary similarity measures estimate differe...
The main functions of the metric and correlation are disclosed in the article. The analysis of Hausd...
International audienceThere are many measures of dissimilarity that, depending on the application, d...
In this paper we list a number of similarity measures, some of which are not well known (such as the...
2 × 2 tables are encountered in various scientific disciplines, including biomedical, social and beh...
In this paper a dissimilarity index between statistical populations is pro-posed without the hypothe...