Cluster analysis: a further approach based on density estimation.
From MaRDI portal
Publication:5941334
DOI10.1016/S0167-9473(00)00052-9zbMath1053.62537OpenAlexW2026997470WikidataQ127011544 ScholiaQ127011544MaRDI QIDQ5941334
Antonio Cuevas, Manuel Febrero, Ricardo Fraiman
Publication date: 20 August 2001
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0167-9473(00)00052-9
Density estimation (62G07) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
Related Items
Estimating the number of clusters, On boundary estimation, Divisive clustering of high dimensional data streams, Estimation of level set trees using adaptive partitions, Modal clustering asymptotics with applications to bandwidth selection, Density-based silhouette diagnostics for clustering methods, The Modal Age of Statistics, A Review on Modal Clustering, Depth level set estimation and associated risk measures, Resampling approach for cluster model selection, Detection of outliers in functional time series, A statistical model of cluster stability, Data-driven density derivative estimation, with applications to nonparametric clustering and bump hunting, A review of robust clustering methods, Level Set and Density estimation on Manifolds, LEARNING RATES FOR DENSITY LEVEL DETECTION, Mixture model modal clustering, A functional analysis of NOx levels: location and scale estimation and outlier detection, Confidence sets for persistence diagrams, Kernel estimation of density level sets, A graph-based estimator of the number of clusters, Nonparametric estimation of directional highest density regions, Modal clustering using semiparametric mixtures and mode flattening, A Kernel Variogram Estimator for Clustered Data, A population background for nonparametric density-based clustering, Scan clustering: A false discovery approach, Nonparametric estimation of regression level sets using kernel plug-in estimator, Bandwidth selection for kernel density estimators of multivariate level sets and highest density regions, On the use of the bootstrap for estimating functions with functional data, An advancement in clustering via nonparametric density estimation, On the using of modal curves for radar waveforms classification, Level set and density estimation on manifolds, PLUG-IN ESTIMATION OF GENERAL LEVEL SETS
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Minimax theory of image reconstruction
- On the number of clusters
- Trimmed \(k\)-means: An attempt to robustify quantizers
- A comparative study of several smoothing methods in density estimation
- On nonparametric estimation of density level sets
- Universal smoothing factor selection in density estimation: theory and practice. (With discussion)
- Granulometric smoothing
- A plug-in approach to support estimation
- Single linkage clustering and continuum percolation
- Measuring mass concentrations and estimating density contour clusters -- An excess mass approach
- A Brief Survey of Bandwidth Selection for Density Estimation
- Excess Mass Estimates and Tests for Multimodality
- Estimation of a Convex Density Contour in Two Dimensions
- A Limit Theorem for Solutions of Inequalities
- Consistency of Single Linkage for High-Density Clusters
- Detection of Abnormal Behavior Via Nonparametric Estimation of the Support
- Estimating the number of clusters
- A Hybrid Clustering Method for Identifying High-Density Clusters
- Convergence of stochastic processes