On the public citation graph
An Order Theoretic Model for Cluster Analysis
0 signed · 94 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0012-365x(78)90146-2openalex-snapshot
Semiflat L-cluster methods
inferredcites →https://doi.org/10.1016/0025-5564(70)90077-5openalex-snapshot
A model for taxonomy. II
inferredcites →https://doi.org/10.1016/b978-0-12-714250-0.50009-7openalex-snapshot
Graph Theoretic Techniques for Cluster Analysis Algorithms
inferredcites →https://doi.org/10.1038/212218a0openalex-snapshot
A Generalized Sorting Strategy for Computer Classifications
inferredcites →https://doi.org/10.1080/00365517609068022openalex-snapshot
Classification of Liver Diseases by Clinical Chemical Laboratory Results and Cluster Analysis
inferredcites →https://doi.org/10.1080/01621459.1967.10500923openalex-snapshot
On Some Invariant Criteria for Grouping Data
inferredcites →https://doi.org/10.1080/01621459.1974.10480192openalex-snapshot
Graphs Implied by the Jardine-Sibson Overlapping Clustering Methods, Bk
inferredcites →https://doi.org/10.1093/biomet/58.1.91openalex-snapshot
Admissible Clustering Procedures
inferredcites →https://doi.org/10.1093/comjnl/11.2.177openalex-snapshot
The Construction of Hierarchic and Non-Hierarchic Classifications
inferredcites →https://doi.org/10.1093/comjnl/14.2.156openalex-snapshot
Some observations on a paper by Lance and Williams
inferredcites →https://doi.org/10.1093/comjnl/14.2.162openalex-snapshot
Controversy concerning the criteria for taxonometric strategies
inferredcites →https://doi.org/10.1093/comjnl/9.4.373openalex-snapshot
A General Theory of Classificatory Sorting Strategies: 1. Hierarchical Systems
inferredcites →https://doi.org/10.1111/j.2517-6161.1972.tb00910.xopenalex-snapshot
Order Invariant Methods for Data Analysis
inferredcites →https://doi.org/10.1126/science.176.4035.659-aopenalex-snapshot
A Heterogeneous Subject: The Genetics of Human Populations . L. L. Cavalli-Sforza and W. F. Bodmer. Freeman, San Francisco, 1971. xviii, 966 pp., illus. $27.50. A Series of Books in Biology.
inferredcites →https://doi.org/10.1139/b75-060openalex-snapshot
Classification of vegetation data from an open beach environment in southwestern Ontario: cluster analysis followed by generalized distance assignment
inferredcites →https://doi.org/10.1139/b76-008openalex-snapshot
Systematics of Conidiobolus (Entomophthorales) using numerical taxonomy. I. Biology and cluster analysis
inferredcites →https://doi.org/10.1176/ajp.133.2.150openalex-snapshot
Cluster analysis profiles of suicide attempters
inferredcites →https://doi.org/10.2307/2346469openalex-snapshot
Les Bases de la Classification Automatique.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/0471667196.ess0947openalex-snapshot
Hierarchical Cluster Analysis
inferred← citeshttps://doi.org/10.1002/0471667196.ess0947.pub2openalex-snapshot
Hierarchical Cluster Analysis
inferred← citeshttps://doi.org/10.1002/9781118445112.stat02449openalex-snapshot
Hierarchical Cluster Analysis
inferred← citeshttps://doi.org/10.1002/9781118445112.stat02449.pub2openalex-snapshot
Hierarchical Cluster Analysis
inferred← citeshttps://doi.org/10.1006/eujc.1999.0379openalex-snapshot
Set Systems and Dissimilarities
inferred← citeshttps://doi.org/10.1007/3-540-51722-7_22openalex-snapshot
On residuated approximations
inferred← citeshttps://doi.org/10.1007/978-1-4612-2686-4_2openalex-snapshot
The partial order by inclusion of the principal classes of dissimilarity on a finite set, and some of their basic properties
inferred← citeshttps://doi.org/10.1007/978-1-4612-2686-4_4openalex-snapshot
An order-theoretic unification and generalisation of certain fundamental bijections in mathematical classification. I
inferred← citeshttps://doi.org/10.1007/978-1-4612-2686-4_6openalex-snapshot
The residuation model for the ordinal construction of dissimilarities and other valued objects
inferred← citeshttps://doi.org/10.1007/978-1-4614-8223-9_9openalex-snapshot
Partial Orders in Socio-economics: A Practical Challenge for Poset Theorists or a Cultural Challenge for Social Scientists?
inferred← citeshttps://doi.org/10.1007/978-1-4939-0742-7_16openalex-snapshot
Thinking Ultrametrically, Thinking p-Adically
inferred← citeshttps://doi.org/10.1007/978-3-0348-0609-1_5openalex-snapshot
Generalized Classifications
inferred← citeshttps://doi.org/10.1007/978-3-540-73560-1_20openalex-snapshot
Cluster Analysis Based on Posets
inferred← citeshttps://doi.org/10.1007/978-3-642-17103-1_12openalex-snapshot
Spatial Pyramidal Clustering Based on a Tessellation
inferred← citeshttps://doi.org/10.1007/978-3-642-23166-7_5openalex-snapshot
Hierarchical Clustering for Finding Symmetries and Other Patterns in Massive, High Dimensional Datasets
inferred← citeshttps://doi.org/10.1007/978-3-642-23678-5_1openalex-snapshot
Metric Structures on Datasets: Stability and Classification of Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-642-46757-8_13openalex-snapshot
Formal Concept Analysis of Data With Tolerances
inferred← citeshttps://doi.org/10.1007/978-3-642-50974-2_14openalex-snapshot
Some New Useful Representations of Dissimilarities in Mathematical Classification
inferred← citeshttps://doi.org/10.1007/978-3-642-51175-2_1openalex-snapshot
Classification and Clustering: Problems for the Future
inferred← citeshttps://doi.org/10.1007/978-3-642-51175-2_8openalex-snapshot
Comparison of hierarchical classifications
inferred← citeshttps://doi.org/10.1007/978-3-642-55721-7_4openalex-snapshot
On the Roles of Galois Connections in Classification
inferred← citeshttps://doi.org/10.1007/978-3-642-58250-9_10openalex-snapshot
On a Framework for Dissimilarity Analysis
inferred← citeshttps://doi.org/10.1007/978-3-642-72253-0_11openalex-snapshot
Consensus of classifications: the case of trees
inferred← citeshttps://doi.org/10.1007/978-3-642-79999-0_13openalex-snapshot
Valuations and Hierarchizations
inferred← citeshttps://doi.org/10.1007/978-3-642-79999-0_5openalex-snapshot
An Ordinal Model for Cluster Analysis — 15 Years in Retrospect
inferred← citeshttps://doi.org/10.1007/978-3-642-80098-6_3openalex-snapshot
Computational Methods in Clustering from a Mathematical Programming Viewpoint
inferred← citeshttps://doi.org/10.1007/978-3-7091-6045-9_34openalex-snapshot
Commentary on Probabilistic Geometry
inferred← citeshttps://doi.org/10.1007/978-94-009-7798-3_23openalex-snapshot
Ordered Sets and Social Sciences
inferred← citeshttps://doi.org/10.1007/bf01195143openalex-snapshot
Order theoretic classification of monotone equivariant cluster methods
inferred← citeshttps://doi.org/10.1007/bf01719499openalex-snapshot
Clusteranalyse — Überblick und neuere Entwicklungen
inferred← citeshttps://doi.org/10.1007/bf01894188openalex-snapshot
On the use of ordered sets in problems of comparison and consensus of classifications
inferred← citeshttps://doi.org/10.1007/bf01908077openalex-snapshot
Investigation of proportional link linkage clustering methods
inferred← citeshttps://doi.org/10.1007/s00357-012-9106-3openalex-snapshot
Fast, Linear Time Hierarchical Clustering using the Baire Metric
inferred← citeshttps://doi.org/10.1007/s10288-004-0051-9openalex-snapshot
Combinatorial optimization and hierarchical classifications
inferred← citeshttps://doi.org/10.1007/s10479-007-0174-4openalex-snapshot
Combinatorial optimisation and hierarchical classifications
inferred← citeshttps://doi.org/10.1016/0012-365x(78)90146-2openalex-snapshot
Semiflat L-cluster methods
inferred← citeshttps://doi.org/10.1016/0022-247x(86)90312-4openalex-snapshot
Range residuated mappings
inferred← citeshttps://doi.org/10.1016/0022-247x(88)90119-9openalex-snapshot
Order automorphisms of spaces of nondecreasing functions
inferred← citeshttps://doi.org/10.1016/0022-2496(79)90035-xopenalex-snapshot
Preservation of global order equivalence
inferred← citeshttps://doi.org/10.1016/0022-2496(86)90020-9openalex-snapshot
Biorder families, valued relations, and preference modelling
inferred← citeshttps://doi.org/10.1016/0165-0114(88)90080-2openalex-snapshot
Quotients with respect to similarity relations
inferred← citeshttps://doi.org/10.1016/0165-0114(91)90256-popenalex-snapshot
Aggregation of fuzzy preferences: A theoretic arrow-like approach
inferred← citeshttps://doi.org/10.1016/0165-0114(92)90203-gopenalex-snapshot
A duality between fuzzy and percentile clustering
inferred← citeshttps://doi.org/10.1016/0165-4896(84)90060-xopenalex-snapshot
Efficient and binary consensus functions on transitively valued relations
inferred← citeshttps://doi.org/10.1016/0165-4896(89)90043-7openalex-snapshot
Ordinal and percentile clustering
inferred← citeshttps://doi.org/10.1016/0165-4896(90)90077-kopenalex-snapshot
Arrowian characterizations of latticial federation consensus functions
inferred← citeshttps://doi.org/10.1016/0165-4896(91)90039-topenalex-snapshot
Flatness and continuity in the percentile clustering model
inferred← citeshttps://doi.org/10.1016/0165-4896(93)90001-yopenalex-snapshot
Some aspects of qualitative data analysis
inferred← citeshttps://doi.org/10.1016/0165-4896(93)90030-mopenalex-snapshot
Compatibility in a graph-theoretic setting
inferred← citeshttps://doi.org/10.1016/0165-4896(93)90052-kopenalex-snapshot
Preservation of weak order equivalence
inferred← citeshttps://doi.org/10.1016/0166-218x(81)90035-4openalex-snapshot
Continuous L-cluster methods
inferred← citeshttps://doi.org/10.1016/0166-218x(91)90021-nopenalex-snapshot
Classification of normalized cluster methods in an order theoretic model
inferred← citeshttps://doi.org/10.1016/s0012-365x(98)00067-3openalex-snapshot
Quasi-ultrametrics and their 2-ball hypergraphs
inferred← citeshttps://doi.org/10.1016/s0065-2458(08)60034-0openalex-snapshot
Clustering Methodologies in Exploratory Data Analysis
inferred← citeshttps://doi.org/10.1016/s0165-4896(01)00081-6openalex-snapshot
Consistency in ordinal data analysis I
inferred← citeshttps://doi.org/10.1016/s0166-218x(01)00354-7openalex-snapshot
Pyramids and weak hierarchies in the ordinal model for clustering
inferred← citeshttps://doi.org/10.1016/s0166-218x(02)00206-8openalex-snapshot
The k-weak hierarchical representations: an extension of the indexed closed weak hierarchies
inferred← citeshttps://doi.org/10.1016/s0304-0208(08)73839-8openalex-snapshot
Ensembles Ordonnes Et Taxonomie Mathematique
inferred← citeshttps://doi.org/10.1023/a:1010662327346openalex-snapshot
Biclosed Binary Relations and Galois Connections
inferred← citeshttps://doi.org/10.1134/s0081543809020175openalex-snapshot
Symmetry in data mining and analysis: A unifying view based on hierarchy
inferred← citeshttps://doi.org/10.1134/s2070046612010062openalex-snapshot
Fast, linear time, m-adic hierarchical clustering for search and retrieval using the Baire metric, with linkages to generalized ultrametrics, hashing, formal concept analysis, and precision of data measurement
inferred← citeshttps://doi.org/10.1137/0605048openalex-snapshot
The Approximation of Arbitrary Clustering Functions by Clustering Functions which Satisfy Overlapping Criteria
inferred← citeshttps://doi.org/10.1137/060676532openalex-snapshot
Hierarchical Clustering of Massive, High Dimensional Data Sets by Exploiting Ultrametric Embedding
inferred← citeshttps://doi.org/10.1146/annurev.ps.43.020192.001125openalex-snapshot
Combinatorial Data Analysis
inferred← citeshttps://doi.org/10.2991/asum.k.210827.083openalex-snapshot
On Agglomerative Hierarchical Percentile Clustering
inferred← citeshttps://doi.org/10.4000/msh.2799openalex-snapshot
Les ultramétriques supérieures minimales d'une dissimilarité à valeurs dans un treillis distributif
inferred← citeshttps://doi.org/10.48550/arxiv.1008.3585openalex-snapshot
Ultrametric and Generalized Ultrametric in Computational Logic and in Data Analysis
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.