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About regional convergence clubs in the European Union [PDF]
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2015 The goal of this research is to present the concept of convergence club within the European Union members, starting from the hypothesis that an overall convergence cannot be identified because of the high output disparities between ...
Mihaela Simionescu
doaj
Neighborhood Selection for Thresholding-based Subspace Clustering
, 2014 Subspace clustering refers to the problem of clustering high-dimensional data points into a union of low-dimensional linear subspaces, where the number of subspaces, their dimensions and orientations are all unknown. In this paper, we propose a variation
Agustsson, Eirikur +2 more
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A Short Survey on Data Clustering Algorithms
, 2015 With rapidly increasing data, clustering algorithms are important tools for data analytics in modern research. They have been successfully applied to a wide range of domains; for instance, bioinformatics, speech recognition, and financial analysis ...
Wong, Ka-Chun
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Clustering of near clusters versus cluster compactness [PDF]
Monthly Notices of the Royal Astronomical Society, 1989 Les proprietes d'agencement des amas de Zwicky proches sont etudiees en utilisant la fonction de correlation angulaire a 2 points. Ces fonctions sont estimees pour les amas compacts et moyennement compacts, pour les amas ouverts et pour tous les amas de Zwicky ...
Yi-peng Jing, Yu Gao
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Motif Clustering and Overlapping Clustering for Social Network Analysis
, 2017 Motivated by applications in social network community analysis, we introduce a new clustering paradigm termed motif clustering. Unlike classical clustering, motif clustering aims to minimize the number of clustering errors associated with both edges and ...
Dau, Hoang +3 more
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CLUSTERING VIETNAMESE CONVERSATIONS FROM FACEBOOK PAGE TO BUILD TRAINING DATASET FOR CHATBOT
Jordanian Journal of Computers and Information Technology, 2022 The biggest challenge of building chatbots is training data. The required data must be realistic and large enough to train chatbots. We create a tool to get actual training data from Facebook messenger of a Facebook page.
Trieu Hai Nguyen +3 more
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Journal of Applied Science and Engineering, 2022 Big data in healthcare defines a massive quantity of healthcare data accumulated from massive sources like electronic health records (EHR), medical imaging, genomic sequence, pharmacological research, wearable, medical gadgets, etc.
T. Gayathri, D. Lalitha Bhaskari
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Hierarchical clusters of lanthanide cluster plus gold cluster
Inorganic and Nano-Metal Chemistry, 2020 In this work, we provide a facile and valid one-pot synthesis method to create unreported hierarchical cluster of lanthanide cluster plus gold cluster (Ln-Au cluster), by introducing the ligands with bifunctional groups of carboxyl and sulfhydryl. The identities of Ln-Au clusters are fully characterized to be Ln7Au20 (MPCA)21 (Ln = Ce, 1; Eu, 2; Tb, 3;
Kai Zheng +4 more
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Remote Sensing, 2019 Lightning activity is usually associated with precipitations events and represents a possible indicator of climate change, even contributing to its increase with the production of NOx gases.
Guido Paliaga +3 more
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Uncovering Group Level Insights with Accordant Clustering
, 2017 Clustering is a widely-used data mining tool, which aims to discover partitions of similar items in data. We introduce a new clustering paradigm, \emph{accordant clustering}, which enables the discovery of (predefined) group level insights.
Ackerman, Margareta +2 more
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