Density peaks clusteringThere are a large number of imbalanced classification problems in the real world. Due to the imbalance in the amount of data and the complex nature of the distribution, the minority class samples are difficult to be classified correctly. Oversampling techniques balance the ...
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...
But unfortunately, we need to calculate the distance between all data points in the first process, which limits the running speed of DPC algorithm on large datasets. To address this issue, this paper introduces a novel approach based on grid, called density peaks clustering algorithm based on ...
The DPC-GS-MND clustering algorithm The key idea of density peaks clustering algorithm is based on the following two assumptions: (1) the cluster center is surrounded by data points not higher than its density; (2) the distance between the cluster center points and the higher density point is...
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...
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...
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 ...
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...
To sum up, we introduced the quantitative analysis method and the visual clustering analysis method into the literature research of the field of recommendation systems. From the aspects of time distribution, periodical distribution, comparative analysis of research power, author analysis and citation anal...
Most fibers co-localize with either sodium or magnesium ions, and the clustering of these cations in the fiber indicates a structural level of hierarchy in which individual organic fibers probably have different functional roles in controlling fiber formation and matrix–mineral interactions [48]. The...