Liao K, Guo D (2008) A Clustering-Based Approach to the Capacitated Facility Location Problem. Trans in GIS 12:323-339.Liao K, Guo D (2008) A clustering-based approach to the capacitated facility location proble
Compiling many techniques into the proposed approach to make an effective work so the data locality maximization and communication costs reduction are met. Among these techniques are: K-means-based process for query clustering, schemes refinement process, fragmentation evaluation technique, site clustering...
Zhou, X., Yu, H. (2007). A Clustering-Based Approach for Tracing Object-Oriented Design to Requirement. In: Dwyer, M.B., Lopes, A. (eds) Fundamental Approaches to Software Engineering. FASE 2007. Lecture Notes in Computer Science, vol 4422. Springer, Berlin, Heidelberg. https://doi.o...
Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach Qinying Liu, Zilei Wang, Shenghai Rong, Junjie Li, Yixin Zhang ICCV2023 [Paper]Data PreparationDownload the features of THUMOS14 from dataset.zip. Place the features inside ...
machine learning to first obtain clusters of network traffic data divided into the desired number of classes via unsupervised method, then label the points driven by a voting method to mark normal, DDoS and suspicious traffic, and finally detect the class of unknown traffic via supervised approach...
A game theory-based distributed clustering approach for wireless sensor networks is proposed in [3]. A non-cooperative game theory-based algorithm is proposed in this work to control the sensor node’s energy consumption in the network. The work shows that it is better in terms of energy cons...
In conclusion, we have proposed scDeepCluster—a model-based deep learning approach for clustering analysis of scRNA-seq data. scDeepCluster can learn a latent embedded representation that is optimized for clustering high-dimensional input in a nonlinear manner. In particular, we explicitly model scR...
Uses an iterative approach to find the best value for K center points or centroids. Assigns each data point to the K center that is nearest to it. A cluster is formed to data points that are closed to a specific K center. Hence, each cluster has data points with some commonalities, and...
In this paper, a new design approach based on hierarchical clustering is proposed. The design principle and the algorithm of the method, as well as the experimental results for both test data and remote-sensing data, are discussed. The design process of the method is simple and the ...
[论文]A Link-Based Cluster Ensemble Approach for Categorical Data Clustering http://www.cnblogs.com/Azhu/p/4137131.html 这篇论文建议先看了上面这一遍,两篇作者是一样的,方法也一样,这一片论文与上面的不同点在于,使用的数据集是目录数据,即数据不能数字化,例如:...