An application of the minimal spanning tree approach to the cluster stability problem
From MaRDI portal
Publication:441041
DOI10.1007/s10100-010-0157-4zbMath1245.90137OpenAlexW1975417018MaRDI QIDQ441041
D. Toledano-Kitai, Z. Barzily, Gerhard-Wilhelm Weber, Renata Avros, V. Eh. Vol'kovich
Publication date: 20 August 2012
Published in: CEJOR. Central European Journal of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10100-010-0157-4
Programming involving graphs or networks (90C35) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)
Related Items
A MILP approach to the optimization of banner display strategy to tackle banner blindness ⋮ Robust gene expression index ⋮ Or in the industrial engineering of industry 4.0: experiences from the Iberian Peninsula mirrored in CJOR ⋮ On Application of a ProbabilisticK-Nearest Neighbors Model for Cluster Validation Problem
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Estimating the Number of Clusters in a Data Set Via the Gap Statistic
- CMARS: a new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous optimization
- ElemStatLearn
- Statistical theory in clustering
- A multivariate two-sample test based on the number of nearest neighbor type coincidences
- Measuring the influence of individual data points in a cluster analysis.
- Multivariate generalizations of the Wald-Wolfowitz and Smirnov two-sample tests
- On a new multivariate two-sample test.
- On the multivariate runs test
- A statistical model of cluster stability
- A classification EM algorithm for clustering and two stochastic versions
- Resampling Method for Unsupervised Estimation of Cluster Validity
- On Application of a ProbabilisticK-Nearest Neighbors Model for Cluster Validation Problem
- Regulatory Networks under Ellipsoidal Uncertainty – Data Analysis and Prediction by Optimization Theory and Dynamical Systems
- A Criterion for Determining the Number of Groups in a Data Set Using Sum-of-Squares Clustering
- A survey of nonparametric tests for scale
- Finding the Number of Clusters in a Dataset
- Stability-Based Validation of Clustering Solutions
- New test for the multivariate two-sample problem based on the concept of minimum energy
- Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters
- The elements of statistical learning. Data mining, inference, and prediction
- Comments on: Optimization and data mining in medicine