Add to ORKGThe power transformation that turns an arbitrary even dissimilarity into a semidistance or a definite dissimilarity into a distance is discussed. A method for the metric index computation is deducted and applied to determine the metric indices of 19 standard dissimilarity measures on dichotomous data.U radu je diskutirana transformacija koja proizvoljnu nesličnost prevodi u poluudaljenost a definitnu nesličnost u udaljenost. Uveden je postupak za računanje metričkog indeksa primjenom kojeg je zatim određena njegova vrijednost za 19 standardnih mjera nesličnosti na dihotomnim podacima
We discuss definitions and properties of similarity and dissimilarity coefficients, including their ...
International audienceThe most widely used measures of time series proximity are the Euclidean dista...
TEZ10860Tez (Yüksek Lisans) -- Çukurova Üniversitesi, Adana, 2015.Kaynakça (s. 89-96) var.viii, 97 s...
The power transformation that turns an arbitrary even dissimilarity into a semidistance or a definit...
A genetic algorithm is proposed for determining the power transformation that turns an arbitrary eve...
A genetic algorithm is proposed for determining the power transformation that turns an arbitrary eve...
Abstract. Non-metric dissimilarity measures may arise in practice e.g. when objects represented by s...
In the last decade there has been an increasing interest in mining time series data and many distanc...
In many real-world applications concerning pattern recognition techniques, it is of utmost importanc...
: Multidimensionnal scaling ( MDS ) seeks to build points in a metric space from a given proximity d...
AbstractSimilarity and dissimilarity measures are widely used in many research areas and application...
Statistika kot interdisciplinarna veja matematike obsega številne uporabne metode preučevanja različ...
This 4th edition of the leading reference volume on distance metrics is characterized by updated and...
Dissimilarity, Partial dissimularity, Distance, Distance transformation, Clustering, Missing data,
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 ...
International audienceThe most widely used measures of time series proximity are the Euclidean dista...
TEZ10860Tez (Yüksek Lisans) -- Çukurova Üniversitesi, Adana, 2015.Kaynakça (s. 89-96) var.viii, 97 s...
The power transformation that turns an arbitrary even dissimilarity into a semidistance or a definit...
A genetic algorithm is proposed for determining the power transformation that turns an arbitrary eve...
A genetic algorithm is proposed for determining the power transformation that turns an arbitrary eve...
Abstract. Non-metric dissimilarity measures may arise in practice e.g. when objects represented by s...
In the last decade there has been an increasing interest in mining time series data and many distanc...
In many real-world applications concerning pattern recognition techniques, it is of utmost importanc...
: Multidimensionnal scaling ( MDS ) seeks to build points in a metric space from a given proximity d...
AbstractSimilarity and dissimilarity measures are widely used in many research areas and application...
Statistika kot interdisciplinarna veja matematike obsega številne uporabne metode preučevanja različ...
This 4th edition of the leading reference volume on distance metrics is characterized by updated and...
Dissimilarity, Partial dissimularity, Distance, Distance transformation, Clustering, Missing data,
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 ...
International audienceThe most widely used measures of time series proximity are the Euclidean dista...
TEZ10860Tez (Yüksek Lisans) -- Çukurova Üniversitesi, Adana, 2015.Kaynakça (s. 89-96) var.viii, 97 s...