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C&EN1y
Cluster-MLP: An Active Learning Genetic Algorithm Framework for Accelerated Discovery of Global Minimum Configurations of Pure and Alloyed Nanoclusters
Structural characterization of nanoclusters is one of the major challenges in nanocluster modeling owing to the multitude of possible configurations of arrangement of cluster atoms. The genetic ...
Searchenginejournal.com3y
Semantic Keyword Clustering For 10,000+ Keywords [With Script]
Features Of The New Script Versus Earlier Iterations In addition to semantic keyword grouping, the following improvements have been added to the latest version of this script. Support for ...
IEEE3y
K-means clustering algorithm and Python implementation
K-means is a commonly used algorithm in machine learning. It is an unsupervised learning algorithm. It is regularly used for data clustering. Only the number of clusters are needed to be specified for ...
IEEE3y
K-means clustering algorithm and Python implementation
K-means is a commonly used algorithm in machine learning. It is an unsupervised learning algorithm. It is regularly used for data clustering. Only the number of clusters are needed to be specified for ...
GitHub6y
GitHub - benedekrozemberczki/ClusterGCN: A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
In this paper, we propose Cluster-GCN, a novel GCN algorithm that is suitable for SGD-based training by exploiting the graph clustering structure. Cluster-GCN works as the following: at each step, it ...