The multi-orientation problem can be solved using the connected component analysis method. To extract connected components (CCs) in images by using the maximally stable extremal region algorithm. These extracted CCs are partitioned into clusters so that we can generate candidate regions. Trained an ...
The complexity of a CCL problem depends on the structure of the connected components in the input data and the performance of each method can differ dramatically for different datasets. Hence, to perform an unbiased analysis, CCL algorithms should be tested on a variety of different input cases....
The proposed approach is then applied to datasets of U.S Airline companies and Zachary Karate Club using the clustering coefficient approach. This approach detects the community of strongly mutually connected components having different values of the relation residing in the network. Experimental results...
We calculated the agglomerative coefficient (Rousseeuw,1986) to measure the quality of the clustering structure and compare the five most common hierarchical clustering algorithms, single, complete, average, McQuitte, and Ward. This value ranges from 0 to 1, with values closer to 1 indicating a m...
Firstly theconnected units of reservoir are compartmentalized depending on the distribution of the interlayers made of mudstone or muddy siltstone,and then the flow units of reservoir are divided using clustering analysis on the characteristic parameters of reservoir that influence the flow of fluid. ...
aSingle linkage clustering is equivalent to seeking maximally connected subgraphs (components) while complete linkage clustering corresponds to finding maximally complete subgraphs (cliques) [150]. 当完全连接成群对应于找到最大地完全子图 (派系) 150时,唯一连接成群与寻找最大地连接的子图组分 (是) (等效的...
Another kind of network that we need to be aware of is SANs (usually now expanded as storage area networks, but formerly also known as system area networks). SANs are usually confined to a single room and connect the various components of a large computing system. For example, Fiber Channel...
Clustering of single cells using their MCU abundances identified 13 subpopulations enriched for different MCUs (Fig. 4e). We selected six subpopulations representing high (1 and 13), intermediate (5 and 8), and low (4 and 12) viral gene expression for further analysis. Besides their subcellular...
Semiconductor lasersCoatingElectronic componentsLasersRadiation effectsWith the development of electronic device widely used in space and radiation environment, ... H Liu 被引量: 1发表: 2011年 Clustering in High-Dimensional Data Spaces By high-dimensional we mean dimensionality of the same order as the...
1.Algorithm for clustering gene expression data using connected components;利用连通分支对基因表示数据的聚类算法 2.This paper presents a new clustering method based on connected components that is to resolve the categorized problems of tanks status in industry production of aluminum electrolysis.提出了一...