ADAPTED ELBOW METHOD FOR SPHERICAL CLUSTERING OF FRACTURE DATA FROM DIGITAL OUTCROP MODEL.
Graciela Eliane dos Reis RacolteAdemir Marques Jr.Caroline Lessio CazarinLuiz GonzagaMaurício Roberto VeronezPublished in: IGARSS (2022)
Keyphrases
- input data
- test data
- prior knowledge
- synthetic data
- prior information
- clustering method
- mathematical model
- experimental data
- statistical information
- statistical methods
- regression analysis
- probabilistic model
- objective function
- dimensional vector
- em algorithm
- statistical model
- noisy data
- data sources
- spectral clustering
- data points
- prediction model
- similarity matrix
- missing data
- learned models
- predictive model
- data sets
- parameter estimation
- training samples
- unsupervised learning
- training data
- cost function
- hierarchical clustering
- surface model
- similarity measure
- k means
- probability distribution
- similarity function
- large scale data sets
- bayesian framework
- energy function
- support vector machine
- cluster analysis
- missing values
- estimation process
- clustering result
- gene expression time series
- clustering analysis
- autoregressive
- gaussian distribution
- model selection
- maximum likelihood
- data mining techniques
- three dimensional