Results 251 to 260 of about 1,583,595 (288)
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2001
After an introduction to self-similar deterministic and random measures, we introduce an algorithm which decides on the separation condition for given similarity mappings defining a self-similar set. We construct some new types of Sierpinski gasket and determine their exponent of interior distance.
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After an introduction to self-similar deterministic and random measures, we introduce an algorithm which decides on the separation condition for given similarity mappings defining a self-similar set. We construct some new types of Sierpinski gasket and determine their exponent of interior distance.
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Hypergraph Similarity Measures
IEEE Transactions on Network Science and Engineering, 2023Amit Surana, Can Chen, Indika Rajapakse
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Semantic Similarity Functions and Measures
2019Similarity is the process through which two or more objects are compared in order to identify to what extent they are alike. This is useful, for instance, when there is the need to identify common elements among a set of objects or when a new object has to be classified w.r.t. the others.
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A new similarity measure between picture fuzzy sets and its application
Engineering Applications of Artificial Intelligence, 2020Minxia Luo
exaly