The following pages link to Statistical theory in clustering (Q1063979):
Displaying 41 items.
- DESPOTA: dendrogram slicing through a pemutation test approach (Q269551) (← links)
- Markov-switching model selection using Kullback-Leibler divergence (Q278195) (← links)
- Robust statistics, hypothesis testing, and confidence intervals for persistent homology on metric measure spaces (Q404272) (← links)
- Resampling approach for cluster model selection (Q413896) (← links)
- An application of the minimal spanning tree approach to the cluster stability problem (Q441041) (← links)
- Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables (Q481914) (← links)
- Statistical properties of the single linkage hierarchical clustering estimator (Q514178) (← links)
- A mesh partitioning algorithm for preserving spatial locality in arbitrary geometries (Q728770) (← links)
- Metrics on spaces of finite trees (Q758937) (← links)
- A randomized algorithm for estimating the number of clusters (Q766055) (← links)
- Statistical properties of convex clustering (Q887272) (← links)
- Finite mixture models and model-based clustering (Q975580) (← links)
- Parsimonious trees (Q1088345) (← links)
- Indexed dendrograms on random dissimilarities (Q1393054) (← links)
- DESPOTA: an algorithm to detect the partition in the extended hierarchy of a dendrogram (Q1627895) (← links)
- Comparing classical criteria for selecting intra-class correlated features in Multimix (Q1659009) (← links)
- Performance guarantees for hierarchical clustering (Q1780451) (← links)
- On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples (Q1876983) (← links)
- Single linkage clustering and continuum percolation (Q1893354) (← links)
- A new non-Archimedean metric on persistent homology (Q2095728) (← links)
- Component-trees and multivalued images: structural properties (Q2251254) (← links)
- Interactive segmentation based on component-trees (Q2276000) (← links)
- Mixtures of multivariate contaminated normal regression models (Q2306894) (← links)
- Testing over-representation of observations in subsets of a DEA technology (Q2355920) (← links)
- Self-learning \(K\)-means clustering: a global optimization approach (Q2392762) (← links)
- Robust clustering in regression analysis via the contaminated Gaussian cluster-weighted model (Q2403302) (← links)
- Maximum likelihood estimation of Gaussian mixture models without matrix operations (Q2418406) (← links)
- A statistical model of cluster stability (Q2427347) (← links)
- Modeling insurance claims via a mixture exponential model combined with peaks-over-threshold approach (Q2447408) (← links)
- Mathematical classification and clustering (Q2564098) (← links)
- Performances of a test for homogeneity against a Gaussian mixture hypothesis (Q2750825) (← links)
- Parsimonious mixtures of multivariate contaminated normal distributions (Q2833487) (← links)
- (Q2959861) (← links)
- On Application of a Probabilistic<i>K</i>-Nearest Neighbors Model for Cluster Validation Problem (Q3098934) (← links)
- Computing the volume of a high-dimensional semi-unsupervised hierarchical copula (Q3101644) (← links)
- Issues of robustness and high dimensionality in cluster analysis (Q3298582) (← links)
- Clustering in the Presence of Scatter (Q3636975) (← links)
- Model‐based clustering of regression time series data via APECM—an AECM algorithm sung to an even faster beat (Q4969810) (← links)
- Ultrametric fitting by gradient descent <sup>*</sup> (Q5857451) (← links)
- Distances and isomorphism between networks: stability and convergence of network invariants (Q6175712) (← links)
- Merging \(K\)-means with hierarchical clustering for identifying general-shaped groups (Q6541443) (← links)
