Pages that link to "Item:Q1072282"
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The following pages link to On some significance tests in cluster analysis (Q1072282):
Displaying 29 items.
- Algorithmic paradigms for stability-based cluster validity and model selection statistical methods, with applications to microarray data analysis (Q418747) (← links)
- Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables (Q481914) (← links)
- MCS: A method for finding the number of clusters (Q649160) (← links)
- A test for multidimensional clustering tendency (Q761799) (← links)
- Using combinatorial optimization in model-based trimmed clustering with cardinality constraints (Q962299) (← links)
- Statistical tests on two characteristics of the shapes of cluster diagrams (Q1107239) (← links)
- An entropy criterion for assessing the number of clusters in a mixture model (Q1126397) (← links)
- Large-sample results for optimization-based clustering methods (Q1176598) (← links)
- Probabilistic models in cluster analysis (Q1350792) (← links)
- On the number of clusters (Q1350805) (← links)
- Searching for a common pooling pattern among several samples (Q1615077) (← links)
- Multivariate permutation tests for the \(k\)-sample problem with clustered data (Q1855632) (← links)
- Asymptotics of a clustering criterion for smooth distributions (Q1951148) (← links)
- Loevinger's measures of rule quality for assessing cluster stability (Q2257595) (← links)
- A new alternative to the standard \(F\) test for clustered data (Q2272094) (← links)
- A unified framework for detecting groups and application to shape recognition (Q2384104) (← links)
- Probabilistic clustering via Pareto solutions and significance tests (Q2418354) (← links)
- Trimming algorithms for clustering contaminated grouped data and their robustness (Q2442773) (← links)
- Some peculiar boundary phenomena for extremes of r-th nearest neighbor links (Q2640218) (← links)
- Resampling method for unsupervised estimation of cluster validity (Q2784823) (← links)
- A bimodality test in high dimensions (Q2871022) (← links)
- Statistical Significance of Clustering for High-Dimension, Low–Sample Size Data (Q3069864) (← links)
- A Test of the Gaussian-ness of a Data Set Using Clustering (Q3717996) (← links)
- An asymptotic result on principal points for univariate distributions (Q3835650) (← links)
- On the enumeration of rectangular (0, 1)-matrices (Q4869584) (← links)
- The next‐generation <i>K</i>‐means algorithm (Q4970423) (← links)
- (Q5190563) (← links)
- A weighted multivariate sign test for cluster-correlated data (Q5449351) (← links)
- Identifying genuine clusters in a classification (Q5917672) (← links)
