Reference health

A Monte Carlo Study of Thirty Internal Criterion Measures for Cluster Analysis

https://doi.org/10.1007/bf02293899
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18/18 checkable references clean · checked 2026-08-12

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

12 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 18 checked references that resolve
resolves10.2307/2412038
Tests for Hierarchical Structure in Random Data Sets
resolves10.1016/0098-3004(79)90020-7
BASIC program for a significance test for clusters in UPGMA dendrograms obtained from squared Euclidean distances
resolves10.1080/00224065.1976.11980738
Speed and Quality of Random Numbers for Simulation
resolves10.1080/01621459.1967.10500923
On Some Invariant Criteria for Grouping Data
resolves10.1037/0033-2909.83.6.1072
A general statistical framework for assessing categorical clustering in free recall.
resolves10.1037/0033-2909.83.3.377
Mixture model tests of cluster analysis: Accuracy of four agglomerative hierarchical methods.
resolves10.1093/comjnl/14.2.157
Group-size dependence: a rationale for choice between numerical classifications
resolves10.1207/s15327906mbr1403_6
Mixture Model Tests Of Hierarchical Clustering Algorithms: The Problem Of Classifying Everybody
resolves10.1146/annurev.es.05.110174.000533
Methods of Comparing Classifications
resolves10.1177/002224377901600411
A Test for Clusters
resolves10.1007/BF02289588
Hierarchical Clustering Schemes
resolves10.1016/0031-3203(80)90001-1
The validation of four ultrametric clustering algorithms
resolves10.1080/01621459.1975.10480256
Measuring the Power of Hierarchical Cluster Analysis
resolves10.2307/2344237
A Review of Classification
resolves10.1007/BF02293907
An Examination of the Effect of Six Types of Error Perturbation on Fifteen Clustering Algorithms
resolves10.1016/0098-3004(79)90001-3
Basic program for a significance test for two clusters in euclidean space as measured by their overlap
resolves10.1111/j.1540-5915.1980.tb01168.x
A NOTE ON PROCEDURES FOR TESTING THE QUALITY OF A CLUSTERING OF A SET OF OBJECTS
resolves10.1080/01621459.1971.10482356
Objective Criteria for the Evaluation of Clustering Methods
The 12 references without a DOI — listed, not checked
no DOI — not checkedNumerical taxonomy
no DOI — not checkedNaval Postgraduate School random number generator package LLRANDOM
no DOI — not checkedPEP-I: A FORTRAN IV (G) program for Guttman-Lingoes nonmetric probability clustering
no DOI — not checked3. Edelbrock, C. , & McLaughlin, B. Intraclass correlations as metrics for hierarchical cluster analysis: Parametric comparisons using the mixture model. Paper presented at the meeting of the Classification Society, Gainesville, Florida, April 1979.
no DOI — not checkedIRCCRAND-The Ohio State University random number generator package
no DOI — not checked1. Downton, M. , & Brennan, T. Comparing classifications: An evaluation of several coefficients of partition agreement. Paper presented at the meeting of the Classification Society, Boulder, Colorado, June 1980.
no DOI — not checkedFundamental statistics in Psychology and Education
no DOI — not checkedMathematical taxonomy
no DOI — not checkedA new measure of similarity between two hierarchical clusterings and its use in studying hierarchical clustering methods
no DOI — not checkedClustering algorithms
no DOI — not checkedCluster analysis for applications
no DOI — not checkedCLUSTISZ: A program to test for the quality of clustering of a set of objects
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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