Automatic identification of rock fracture sets using finite mixture models
From MaRDI portal
Publication:1719836
DOI10.1007/s11004-017-9702-1zbMath1406.86048OpenAlexW2756414854MaRDI QIDQ1719836
Publication date: 12 February 2019
Published in: Mathematical Geosciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11004-017-9702-1
model-based clusteringmixture modelsFisher distributioncomponent-wise EM algorithmfracture setsspherical \(K\)-means algorithm
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Mathematical Theory of Communication
- Minimum message length estimation of mixtures of multivariate Gaussian and von Mises-Fisher distributions
- Connectivity field: a measure for characterising fracture networks
- An antipodally symmetric distribution on the sphere
- Estimating the dimension of a model
- Analytical method for calculating the volume of rock blocks using available mapping data field
- A comparison of methods for the stochastic simulation of rock fractures
- A note on the circular multivariate distribution
- Computer Generation of Distributions on the m-Sphere
- MML estimation of the parameters of the spherical fisher distribution
- Statistical Analysis of Spherical Data
- Simulation of the von mises fisher distribution
- Minimum Message Length and Kolmogorov Complexity
- An Information Measure for Classification
- Dispersion on a Sphere
- Concept decompositions for large sparse text data using clustering
- A new look at the statistical model identification