A first rule and a second rule may be combined as a new individual rule in the set of rules based on overlaps between the calculated hypervolumes.PEREZ, David SubirosVAQUERO GONZALEZ, Luis Miguel
The hierarchy cost of a hierarchical clustering measures the quality of the inducedk-clusterings compared to optimalk-clusterings. It is defined as the maximal ratio of the cost of an inducedk-clustering with respect tok-center to the cost of an optimalk-clustering askranges over all possible ...
Markovitz A, Sharir G, Friedman I, Zelnik-Manor L, Avidan S (2020) Graph embedded pose clustering for anomaly detection. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 10 539–10 547 Gonzalez F, Dasgupta D, Kozma R (2002) Combining negative sele...
Nevertheless, coclustering of subunits belonging to a common multiprotein complex as already seen for PSI subunits underscores the robustness of the quantitative data and the strength of the clustering algorithm, pyGCluster. A protein that clusters with the subunits of the cyt b6f complex is CTH1...
To extract variable groups, we introduce a novel hierarchical transitive clustering聽(HTC) algorithm that constructs a rooted variable tree and then clusters the tree to represent variable group relations. HTC is parameter-free and works unsupervised. We evaluated the group mining framework in living-...
doi:10.1155/2024/8856625Srijan KhadkaAbhishek WagleBibek DhakalRupesh GautamTajana NepalAshish ShresthaFrancisco Gonzalez-LongattInternational Transactions on Electrical Energy Systems
We also show how to apply the properties of ultrametric spaces in clustering. New are two Boolean measures and the algorithm used to implement one of them.GonzalezCarlos G.Veira RodriguezA. L. B. De Oliveira JuniorJ. M.Antunes de Almeida...
Traclass: Trajectory classification using hierarchical region-based and trajectory-based clustering ? ab- stract. In Proc. of the 34th Int. Conf. on Very Large Databases (VLDB'08) (2008).J.-G. Lee, J. Han, X. Li, H. Gonzalez, TraClass: trajectory classification using hier- archical ...
In this paper, we present two novel density-based clustering algorithms that can be applied to solve this: K-DBSCAN, a clustering algorithm based on Gaussian Kernels used to detect individual inhabited cores within regions; and V-DBSCAN, a hierarchical algorithm suitable for sample spaces with ...
cascading outage; contingency; steady-state security assessment; K-means algorithm; hierarchical clustering; PCA1. Introduction Interconnected power system networks are heavily loaded for economic purposes, which could, in turn, violate some security boundaries [1]. These challenging operations scenarios ...