A novel clustering method built on random weight artificial neural networks and differential evolution
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04647-3
Abstract: Clustering is the process of partition of samples, which have not got any labels, into groups. The main aim of clustering was to achieve the lowest distance between samples in each cluster and to achieve… read more here.
Keywords: novel clustering; proposed approach; approach; artificial neural ... See more keywords
Novel clustering-based pruning algorithms
Sign Up to like & getrecommendations! Published in 2020 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-020-00867-8
Abstract: One of the crucial problems of designing a classifier ensemble is the proper choice of the base classifier line-up. Basically, such an ensemble is formed on the basis of individual classifiers, which are trained in… read more here.
Keywords: pruning algorithms; novel clustering; based pruning; clustering based ... See more keywords
A Novel Clustering Algorithm in a Neutrosophic Recommender System for Medical Diagnosis
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DOI: 10.1007/s12559-017-9462-8
Abstract: Decision-making processes have been extensively used in artificial intelligence and cognitive sciences to explain and improve individual and social perception. As one of the most typical decision-making problems, medical diagnosis is used to analyze the… read more here.
Keywords: system; neutrosophic recommender; recommender; novel clustering ... See more keywords
A novel clustering approach to bipartite investor-startup networks
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DOI: 10.1371/journal.pone.0279780
Abstract: We propose a novel similarity-based clustering approach to venture capital investors that takes as input the bipartite graph of funding interactions between investors and startups and returns clusterings of investors built upon 5 characteristic dimensions.… read more here.
Keywords: clustering approach; bipartite investor; investor startup; novel clustering ... See more keywords
A Novel 2D Clustering Algorithm Based on Recursive Topological Data Structure
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14040781
Abstract: In the field of data science and data mining, the problem associated with clustering features and determining its optimum number is still under research consideration. This paper presents a new 2D clustering algorithm based on… read more here.
Keywords: homogeneous energy; algorithm based; energy; clustering algorithm ... See more keywords