Three circular similarity distance measures; Satari distance, Di distance and Chang-chien distance were used to detect outliers using a single-linkage clustering algorithm. Satari distance and Di distance are two similarity measures that have similar formulas for univariate circular data. This study ...
We evaluated the performance of ECA with respect to two such decisions: the choice of the clustering algorithm (single linkage, complete linkage, unweighted... A Trakhtenbrot,R Kadmon - 《Conservation Biology》 被引量: 72发表: 2006年 Cluster first-sequence last heuristics for generating block ...
OrthoSLCis a pipline that performs Reciprocal Best Blast Hit (RBBH) Single Linkage Clustering to obtain Orthologous Genes, and generate core and accessory genes as final output. It is: lightweight, fast, and convenient to install independentof relational database management systems (e.g., MySQL...
S. Seung, Image segmentation by size-dependent single linkage clus- tering of a watershed basin graph, The Computing Research Repository (CoRR), arxiv.org/abs/1505.00249, (2015)A. Zlateski and H. S. Seung. Image segmentation by size- dependent single linkage clustering of a watershed basin...
While the specifics of data preprocessing are unique to each method, we performed the following steps prior to the running of each clustering algorithm: (i) collection of raw counts data; (ii) normalization of counts unique to each algorithm (Table 1). Each dataset was preprocessed by log tr...
Pathways and nodes are listed according to the complete-linkage clustering. Colors in the heatmap correspond to the logarithmic value of the FDR-corrected P value. Black elements in the matrix on the right side of each heatmap indicate the correspondence between cluster numbers and the nodes on...
Based on the pairwise RMSD matrix resulting from the eight models, hierarchical agglomerative clustering70 was performed using the single linkage criterion with the scikit-learn Python module71. For visual analysis, all members of the ensemble were superposed onto the consensus model based on the ...
Clustergram diagnostic plot -example_data/example_cNMF/example_cNMF.clustering.k_10.dt_0_01.pdf Some usage notes: Parallelization: The factorize step can be parallelized with the --total-workers flag and then submitting multiple jobs, one per worker, indexed starting by 0. For example: ...
1) HAC Single-Linkage 单链接凝聚层次聚类算法2) hierarchical agglomerative clustering algorithm 层次凝聚聚类算法 1. PNC2 clustering method is a supervised hierarchical agglomerative clustering algorithm. PNC2是有指导的层次凝聚聚类算法,双重的合并测试使获得的初始模型达到局部最优解,具有很强的可解释性;...
Both programs use information from individual genotypes to identify the num- ber of clusters that maximizes the fit to theoretically expected grouping patterns (i.e., based on Hardy–Weinberg and linkage equilibrium). We first used the Bayesian clustering algorithm in STRUCTURE version 2.3.3 (...