全部文献期刊会议图书|学者科研项目
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作者:Zhuo Wang , Shuilin Jin , Guiyou Liu ...
来源:[J].BMC Bioinformatics(IF 3.024), 2017, Vol.18 (1)
摘要:... However, the large-scale generation of single-cell RNA-seq (scRNA-seq) data collected at multiple time points remains a challenge to effective measurement gene expression patterns in transcriptome analysis.
作者:R.J.G.B. Campello , E.R. Hruschka
来源:[J].Information Sciences(IF 3.643), 2008, Vol.179 (8), pp.1025-1039
摘要:Abstract(#br)A conceptual problem that appears in different contexts of clustering analysis is that of measuring the degree of compatibility between two sequences of numbers. This problem is usually addressed by means of numerical indexes referred to as sequence correlation i...
作者:Faruk Karaaslan
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (9), pp.2781-2793
摘要:... Furthermore, two methods to calculate correlation coefficient between two single-valued neutrosophic refined soft sets are proposed, and a clustering analysis application of one of proposed methods is given.
作者:Erzhou Zhu , Yuanxiang Zhang , Peng Wen ...
来源:[J].Neurocomputing(IF 1.634), 2019, Vol.363, pp.149-170
摘要:Abstract(#br)As a classical data analysis technique, clustering plays the important role in identifying natural structures of target datasets. However, many of the existing clustering methods, including clustering algorithms and clustering validity indexes (CVIs), are still suff...
作者:Yongquan Zhou , Yuxiang Zhou , Qifang Luo ...
来源:[J].Engineering Applications of Artificial Intelligence(IF 1.625), 2017, Vol.64, pp.67-82
摘要:Abstract(#br)Clustering is a popular data-analysis and data-mining technique that has been addressed in many contexts and by researchers in many disciplines. The K -means algorithm is one of the most popular clustering algorithms because of its simplicity and easiness in applicat...
作者:Ewa Nalichowska , Renata Kopeć , Mariusz Kłosowski
来源:[J].Radiation Measurements(IF 0.861), 2017, Vol.107, pp.33-38
摘要:... The reprocessed images were automatically classified to the dynamic or static ionizing radiation exposure groups by the k-means clustering algorithm implemented in the TLDtool. The images were successfully classified at a rate of 100% by the software for the two test confi...
作者:Zhiying Feng , Wenhu Tang , Zhewen Niu ...
来源:[J].Applied Energy(IF 4.781), 2018, Vol.228, pp.1122-1135
摘要:... Considering the vast area and great regional differences in China, a novel bi-level allocation scheme based on clustering analysis and a weighted voting model is proposed in this research. At the first level, 30 regions in China are clustered into four classes according to th...
作者:Weixiang Liu , Kehong Yuan , Datian Ye
来源:[J].Journal of Biomedical Informatics(IF 2.131), 2007, Vol.41 (4), pp.602-606
摘要:Abstract(#br)In microarray data analysis, each gene expression sample has thousands of genes and reducing such high dimensionality is useful for both visualization and further clustering of samples. Traditional principal component analysis (PCA) is a commonly used method which ha...
作者:Tin T. Nguyen , Panchamy Krishnakumari , Simeon C. Calvert ...
来源:[J].Transportation Research Part C(IF 2.006), 2019, Vol.100, pp.238-258
摘要:... In this study, we investigate the application of clustering analysis to obtain labels automatically from the data, where we indeed first qualitatively assess how meaningful the found labels are, and subsequently test quantitatively how well the labels separate the resulting f...
作者:Wende Tian , Guixin Zhang , Huiting Liang
来源:[J].Process Safety and Environmental Protection(IF 1.495), 2018, Vol.113, pp.132-140
摘要:... In this paper, a clustering analysis based method was proposed to optimize the variable alarm thresholds. Variables are first clustered into groups using standardized Euclidean distance before variable weights are given by entropy weight method. Second, the probability densit...

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