In this paper, we introduce the algorithm ClicoT (CLustering mixed-type data Including COncept Trees) as reported by Behzadi et al. (Advances in Knowledge Discovery and Data Mining, Springer, Cham, 2019) which is based on the minimum description length principle. Profiting of the conceptual ...
Cell type annotation can resolve cellular heterogeneity across tissues, developmental stages and organisms, and improve our understanding of cellular and gene functions in health and disease. Many unsupervised scRNA-seq clustering methods have been proposed2,3,4, which are followed by time-consuming ...
ClusteringK-Means ClusteringHierarchical ClusteringExpectation and Maximization AlgorithmGrid Based CalculationClustering or group examination can be considered as a key unit in information investigation, whose primary point is to isolate the information, informational iGoyal, Yogita...
D2 clustering algorithm. Examining global effects of identified variants on complex phenotypes To verify that Huatuo enables identifications of the genetic regulation that serves as potential functional mechanisms underlying the GWAS associations of complex diseases and traits, we constructed logistic ...
The invention discloses an information entropy condensation type hierarchical clustering algorithm-based wind power plant cluster aggregation method of the power system simulation field. The technical scheme is that firstly, according to actually measured operation data of a wind power plant, a spectral ...
Experimental results on Movie database show the effectiveness of this method.GAO YingLIU DaYouQI HongLIU He高滢刘大有齐红刘赫软件学报GAO Ying,LIU Da-You,QI Hong,LIU He."Semi-Supervised K-Means ClusteringAlgorithm for Multi-Type Relational Data". Journal of Software . 2008...
Ikami, D., Yamasaki, T., Aizawa, K.: Local and global optimization techniques in graph-based clustering. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 3456–3464 (2018) Jenkinson, M., Smith, S.: A global optimisation method for robust affine registration of...
To address this difficulty, in this paper a two-stage clustering algorithm for multi-type relational data (TSMRC) has been proposed Based on the analysis of data and relationships, TSMRC has two stages, which are benefit to improve the efficiency of clustering. To improve the quality of ...
8a). However, they lack the expression of key peripheral myelin constituent genes such as MPZ and PMP2, confirming the absence of actual myelin in the lamprey PNS28. Together with the co-clustering of this cell type with mouse satellite glia and Schwann cells (Fig. 2c), our observations ...
To obtain the most impactful elements from the screening result, we designed a custom peak calling algorithm. We defined the peak score p of a locus as the difference between maximum and minimum signal within the range of three bins including the locus. We then selected the top 1% of the ...