Add to ORKGWe propose a distance measure to compare objects that have heterogeneous sets of characteristics, such as encountered in, for example, medical diagnosis and genetic programming
This paper proposes a generalized distance measure and its similarity measures between single valued...
A single-valued neutrosophic set is one of the advanced fuzzy sets that is capable of handling compl...
International audienceThis paper revisits past works on fitness distance correlation (FDC) in relati...
We propose a distance measure to compare objects that have heterogeneous sets of characteristics, su...
Similarity is a vague concept which can be treated in a quantitative manner only using appropriate m...
We propose and discuss distance measures to compare objects that have heterogeneous sets of characte...
Histograms of pairwise Hamming distances among samples. In all panes, the x-axis displays the distan...
In this paper, we introduce a new, previously unknown, distance (i.e., a new metric) in a set whose ...
Many pattern recognition and machine learning approaches employ a distance metric on patterns, or a ...
The Hausdorff distance is a widely used tool to measure the distance between different sets. For the...
Defining a distance measure over the individuals in the population of an Evolutionary Algorithm can ...
We construct a new family of normalised metrics for measuring the dissimilarity of finite sets in te...
This paper presents a genotype-level distance metric for Genetic Programming (GP) based on the symme...
3noDistances that are bound to (or consistent with) genetic operators are measures that quantify the...
A distance on a set is a comparative function. The smaller the distance between two elements of that...
This paper proposes a generalized distance measure and its similarity measures between single valued...
A single-valued neutrosophic set is one of the advanced fuzzy sets that is capable of handling compl...
International audienceThis paper revisits past works on fitness distance correlation (FDC) in relati...
We propose a distance measure to compare objects that have heterogeneous sets of characteristics, su...
Similarity is a vague concept which can be treated in a quantitative manner only using appropriate m...
We propose and discuss distance measures to compare objects that have heterogeneous sets of characte...
Histograms of pairwise Hamming distances among samples. In all panes, the x-axis displays the distan...
In this paper, we introduce a new, previously unknown, distance (i.e., a new metric) in a set whose ...
Many pattern recognition and machine learning approaches employ a distance metric on patterns, or a ...
The Hausdorff distance is a widely used tool to measure the distance between different sets. For the...
Defining a distance measure over the individuals in the population of an Evolutionary Algorithm can ...
We construct a new family of normalised metrics for measuring the dissimilarity of finite sets in te...
This paper presents a genotype-level distance metric for Genetic Programming (GP) based on the symme...
3noDistances that are bound to (or consistent with) genetic operators are measures that quantify the...
A distance on a set is a comparative function. The smaller the distance between two elements of that...
This paper proposes a generalized distance measure and its similarity measures between single valued...
A single-valued neutrosophic set is one of the advanced fuzzy sets that is capable of handling compl...
International audienceThis paper revisits past works on fitness distance correlation (FDC) in relati...