This study proposes a new consistency-based method to integrate multiplicative and fuzzy preference relations, which is based on a cosine similarity measure to derive a collective priority vector. The basic idea is that a collective priority vector should be as similar per column as possible to a...
1) We propose a method for similarity-based grouping and 2) we show results from test cases. As the main steps the method contains specification of grouping rules, pairwise grouping between entries, actual grouping of similar entries, and evaluation and analysis of the results. Often, different...
Three new link-based algorithms are proposed for the underlying similarity assessment. The final clustering result is generated from the refined matrix using two different consensus functions of feature-based and graph-based partitioning. conventional matrix 就是前言中提到的汇总结果。 这个算法目的是发现一...
Consensus clustering (or aggregated clustering) is a more robust approach that relies on multiple iterations of the chosen clustering method on sub-samples of the dataset. By inducing sampling variability with sub-sampling, this provides us with metrics to assess the stability of the clusters and ...
A Method of Evidence Reasoning Based on ISODATA Clustering and Improved Similarity Measure 来自 知网 喜欢 0 阅读量: 32 作者:XD Li,FY Wang 摘要: For the problem that the highly conflictive evidences can not be processed by Dempster rule in intelligent information processing, the reason of ...
Mapping cell type-specific gene expression quantitative trait loci (ct-eQTLs) is a powerful way to investigate the genetic basis of complex traits. A popular method for ct-eQTL mapping is to assess the interaction between the genotype of a genetic locus
Here, we develop a novel multimodal deep learning method, scMDC, for single-cell multi-omics data clustering analysis. scMDC is an end-to-end deep model that explicitly characterizes different data sources and jointly learns latent features of deep embedding for clustering analysis. Extensive ...
Since similar defects produce similar maps, we propose a method based on innovative fuzzy similarity formulations. This procedure can collect maps similar to each other in particular defect classes. In addition, a low-cost analysis system, including the probe, has been implemented in hardware. The...
In summary, the results show that the proposed method has a better anomalies detection and background suppression performance. The IndexIndex values based on the FAR and TPR in the 3D ROC curves for different detectors are calculated, which are shown in Table 9. When the IndexIndex value is ...
A reproducible experimental survey on biomedical sentence similarity: a string-based method sets the state of the art. arXiv 2022 paper bib Alicia Lara-Clares, Juan J. Lastra-Díaz, Ana García-Serrano A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear...