For the sake of addressing these issues and improving the performance of DPC, an improved den-sity peaks clustering algorithm based on natural neighbor with a merging strategy (IDPC-NNMS) is proposed. IDPC-NNMS identifies a natural neighbor set of each data to obtain its local density ...
Mean-shift clustering is a powerful nonparametric technique in unsupervised learning that moves data points towards centroids to create clusters based on the average of nearby points. It is also known as a mode-seeking algorithm and has the advantage of automatically determining the number of clusters...
This model can effectively handle network anomaly detection based on massive network traffic data. 2. We propose an improved density peaks clustering (DPC) algorithm called DPC-GS-MND, which combines the DPC algorithm with grid screening and mutual neighborhood degree to improve the accuracy and ...
Section “Approach overview” provides a brief introduction to the proposed policy evaluation engine, named DPEngine. In section “An effective policy evaluation engine”, we discuss an improved clustering algorithm and the details of the DPEngine. Section “Experimental results and analyses” shows ...
Clustering by fast search and find of density peaks (shorted as DPC) is a powerful clustering algorithm. However it has a fatal problem that once a point is assigned erroneously, then there may be...doi:10.1007/978-3-319-97310-4_36Juanying Xie...
Figure S1. A detailed overview of UmetaFlow. Table S1. Important instrument, method, and sample-specific parameters for UmetaFlow parameter optimization. Table S2. The optimal parameters for OpenMS (UmetaFlow) for feature detection, formula, and structural predictions of the in-house datasets. ...
Phase-amplitude coupling (PAC) is proposed to play an essential role in coordinating the processing of information on local and global scales. In recent years, the methods able to reveal trustworthy PAC has gained considerable interest. However, the intrinsic features of some signals can lead to ...
on each chromosome was calculated independently and the value could be at the 5% level of significance. QTL were named according to (Mccouch et al.1997) and the QTL mapping results were comprehensively compared to the OGRO (The Overview of functionally characterized Genes in Rice online database...
assigned to any well defined particle class for this sample. However, it must be noted that thehierarchical method is simple in terms of computational scheme, and is flexible in terms of decision on the assignment to significant clusters by simply shifting the clustering level in the same ...
Houlahan and Scalo (1992) introduced the hierarchical clustering method to the study of the internal structure of molecular clouds for the first time. The dendrogram based on the molecular cloud column density and applied to the Taurus complex reveals a hierarchical structure in the star-forming mol...