C&EN

clusttraj: A Solvent-Informed Clustering Tool for Molecular Modeling

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Clustering techniques are consolidated as a powerful strategy for analyzing the ...
GitHub

README.md

Begin with a dataset containing your observations (data points) and the features (variables) that describe those observations. Ensure that your data is in a suitable format for clustering, with ...
Scientific Research Publishing

Domain Delineation Using Geological Data, Variogram Analysis, and Clustering Algorithms ()

1 Facultad de Ingeniería, Universidad Andres Bello, Santiago, Chile. 2 Department of Mining Engineering, Universidad de Chile, Santiago, Chile. 3 Advanced Mining Technology Center, Universidad de ...
IEEE

Parallelly Running and Privacy-Preserving Agglomerative Hierarchical Clustering in Outsourced Cloud Computing Environments

Abstract: As a Big Data analysis technique, hierarchical clustering is helpful in summarizing data since it returns the clusters of the data and their clustering history. Cloud computing is the most ...
GitHub

gmm-clustering

Model-based clustering based on parameterized finite Gaussian mixture models. Models are estimated by EM algorithm initialized by hierarchical model-based agglomerative clustering. The optimal model ...