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The Direct Reduction (DR) process has been growing worldwide, and there are strong context suggestions that it will grow even more. One of these factors is the environmental pressure that occurs worldwide, and there are already projects to migrate Blast ...
Jean Philippe Santos Gherardi de Alencar+4 more
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Finding groups in data: Cluster analysis with ants [PDF]
Wepresent in this paper a modification of Lumer and Faieta’s algorithm for data clustering. This approach mimics the clustering behavior observed in real ant colonies.
Boryczka, U., Budka, Marcin
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A Blind Nonlinearity Compensator Using DBSCAN Clustering for Coherent Optical Transmission Systems
Coherent fiber-optic communication systems are limited by the Kerr-induced nonlinearity. Benchmark optical and digital nonlinearity compensation techniques are typically complex and tackle deterministic-induced nonlinearities.
Elias Giacoumidis+6 more
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Correlation of Climate Variability and Burned Area in Borneo using Clustering Methods
The island of Borneo has faced seasonal forest fires for decades. This phenomenon is worsening during dry seasons, especially when droughts are concurrent with the El Niño-Southern Oscillation (ENSO) phenomenon. Climate is therefore one of the drivers of
Ishardina C. Hidayati+4 more
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Rola i znaczenie klastrów w rozwoju turystyki w województwie świętokrzyskim
In the article in nature of clusters was presented, their meaning for the development of tourism in of region. Clusters of the tourism sector are carrying action out on different plains, which for the single entrepreneur, are unfeasible.
Ewa Pałka-Łebek+1 more
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Word Sense Clustering and Clusterability [PDF]
Word sense disambiguation and the related field of automated word sense induction traditionally assume that the occurrences of a lemma can be partitioned into senses. But this seems to be a much easier task for some lemmas than others. Our work builds on recent work that proposes describing word meaning in a graded fashion rather than through a strict
Mccarthy, Diana+2 more
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Adaptive Evolutionary Clustering
In many practical applications of clustering, the objects to be clustered evolve over time, and a clustering result is desired at each time step. In such applications, evolutionary clustering typically outperforms traditional static clustering by ...
AC Harvey+23 more
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Providing Customised Information Panel Content Based on User Behavioral Patterns
Although mobile applications are commonly using user location and behavior to provide relevant content, public information panels usually lack the ability to adjust the content for a particular user or a group of users.
Ivo Pisarovic+3 more
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Polytetrahedral Clusters [PDF]
Physical Review ...
Doye, J, Wales, D
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Factorial clustering methods have been developed in recent years thanks to the improving of computational power. These methods perform a linear transformation of data and a clustering on transformed data optimizing a common criterion.
A. Ben-Israel+6 more
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