Results 41 to 50 of about 843,626 (294)
Clustering as an example of optimizing arbitrarily chosen objective functions [PDF]
, 2013 This paper is a reflection upon a common practice of solving various types of learning problems by optimizing arbitrarily chosen criteria in the hope that they are well correlated with the criterion actually used for assessment of the results. This issue
Budka, Marcin
core +1 more source
HYBRID QUANTUM ANNEALING FOR CLUSTERING PROBLEMS [PDF]
Diversities in Quantum Computation and Quantum Information, 2012 24 pages, 6 figures, revised version will appear in proceedings of Kinki University Quantum Computing Series: "Summer School on Diversities in Quantum Computation/Information"
Tanaka, Shu +3 more
openaire +2 more sources
Usage of clustering algorithms for automating route planning in transportation routing tasks
Системи обробки інформаціїThis scientific paper explores the comprehensive evaluation of clustering results applied to the geographical settlements of Ukraine. Diverse clustering methods, including K-means, DBSCAN, Agglomerative, Spectral, and Birch, were employed to analyze the
O. С. Чорна +3 more
doaj +1 more source
IEEE Access, 2019 In recent years, machine-to-machine (M2M) communications have attracted great attentions from both academia and industry. In M2M communication systems, machine type communication devices (MTCDs) are capable of communicating with each other intelligently ...
Rong Chai, Changzhu Liu, Qianbin Chen
doaj +1 more source
Deconvolute individual genomes from metagenome sequences through short read clustering. [PDF]
, 2020 Metagenome assembly from short next-generation sequencing data is a challenging process due to its large scale and computational complexity. Clustering short reads by species before assembly offers a unique opportunity for parallel downstream assembly of
Deng, Li +5 more
core
Dynamic feature selection for clustering high dimensional data streams [PDF]
, 2019 open access articleChange in a data stream can occur at the concept level and at the feature level. Change at the feature level can occur if new, additional features appear in the stream or if the importance and relevance of a feature changes as the ...
Fahy, Conor, Yang, Shengxiang
core +1 more source
Clusters of problem behaviors in adolescents [PDF]
Research in Nursing & Health, 2005 AbstractThis study was designed to examine clusters of problem behaviors in a sample from the National Longitudinal Study of Adolescent Health at two time points. The technique employed was a person‐oriented approach, cluster analysis. Three clusters were identified, a normal behaviors cluster, a problem behaviors cluster, and a deviant behaviors ...
Robin, Bartlett +2 more
openaire +2 more sources
Supramolecular cluster catalysis: facts and problems [PDF]
Journal of Organometallic Chemistry, 2004 By checking the chemistry underlying the concept of “supramolecular cluster catalysis” we identified two major errors in our publications related to this topic, which are essentially due to contamination problems. (1) The conversion of the “closed” cluster cation [H3Ru3(C6H6)(C6Me6)2(O)]+ (1) into the “open” cluster cation [H2Ru3(C6H6)(C6Me6)2(O)(OH)]+
Suss-Fink, Georg +7 more
openaire +2 more sources
MVTLR-HCFS: Density Peak Algorithm Based on Multi-View and Tensor Low Rank Expression
IEEE Access, 2021 With the rapid development of hardware and software technology, modern industry has produced a large amount of high-dimensional unlabeled data, such as pictures and videos.
Wei Yang +5 more
doaj +1 more source
Comparison of different strategies of utilizing fuzzy clustering in structure identification [PDF]
, 2007 Fuzzy systems approximate highly nonlinear systems by means of fuzzy "if-then" rules. In the literature, various algorithms are proposed for mining. These algorithms commonly utilize fuzzy clustering in structure identification.
Kılıç, Kemal +2 more
core +1 more source