On the public citation graph

Pyramidal classification based on incomplete dissimilarity data

https://doi.org/10.1007/bf01195677
0 signed · 32 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-46757-8_12openalex-snapshot
The MVL (Missing Values Linkage) Approach for Hierarchical Classification when Data are Incomplete
inferredcites →https://doi.org/10.1007/bf00047307openalex-snapshot
Journal of Classification
inferredcites →https://doi.org/10.1007/bf01593790openalex-snapshot
Restart procedures for the conjugate gradient method
inferredcites →https://doi.org/10.1007/bf01890124openalex-snapshot
Ultrametric tree representations of incomplete dissimilarity data
inferredcites →https://doi.org/10.1007/bf02289588openalex-snapshot
Hierarchical Clustering Schemes
inferredcites →https://doi.org/10.1007/bf02294012openalex-snapshot
Indclus: An Individual differences Generalization of the Adclus Model and the Mapclus Algorithm
inferredcites →https://doi.org/10.1007/bf02294077openalex-snapshot
MACPLUS: A Mathematical Programming Approach to Fitting the ADCLUS Model
inferredcites →https://doi.org/10.1016/0025-5564(67)90032-6openalex-snapshot
The structure and construction of taxonomic hierarchies
inferredcites →https://doi.org/10.1016/b978-0-444-87877-9.50038-8openalex-snapshot
AN EXTENSION OF HIERARCHICAL CLUSTERING : THE PYRAMIDAL PRESENTATION
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/10.2307/2683715openalex-snapshot
ICICLE Plot Package for Hierarchical Clustering
inferredcites →https://doi.org/10.5937/trendpos1502063topenalex-snapshot
Multidimensional data analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/9780470977811.biblioopenalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1002/9781119010401.refsopenalex-snapshot
References
inferred← citeshttps://doi.org/10.1002/widm.1096openalex-snapshot
Prepyramidal clustering and Robinsonian dissimilarities: one‐to‐one correspondences
inferred← citeshttps://doi.org/10.1007/3-540-28397-8_6openalex-snapshot
Fuzzy and Crisp Mahalanobis Fixed Point Clusters
inferred← citeshttps://doi.org/10.1007/978-0-387-28692-1_5openalex-snapshot
Market Research and the Rise of the Web: The Challenge
inferred← citeshttps://doi.org/10.1007/978-3-322-94547-1_4openalex-snapshot
Fehlende Werte in der Marktforschung
inferred← citeshttps://doi.org/10.1007/978-3-322-99692-3_4openalex-snapshot
Fehlende Werte in der Marktforschung
inferred← citeshttps://doi.org/10.1007/978-3-540-73560-1_33openalex-snapshot
Data Analysis and Operations Research
inferred← citeshttps://doi.org/10.1007/978-3-540-73560-1_48openalex-snapshot
Robinson Cubes
inferred← citeshttps://doi.org/10.1007/978-3-642-57280-7_8openalex-snapshot
On Pyramidal Classification in the Delimitation of Climatic Regions in Catalonia
inferred← citeshttps://doi.org/10.1007/978-3-642-59051-1_58openalex-snapshot
Two-Mode Overlapping Clustering With Applications to Simultaneous Benefit Segmentation and Market Structuring
inferred← citeshttps://doi.org/10.1007/978-3-642-80098-6_2openalex-snapshot
A New Algorithm for Two-Mode Clustering
inferred← citeshttps://doi.org/10.1007/978-3-662-12433-8_1openalex-snapshot
Data Mining: A New Label for an Old Problem?
inferred← citeshttps://doi.org/10.1007/978-3-7908-1709-6_32openalex-snapshot
Challenges concerning web data mining
inferred← citeshttps://doi.org/10.1007/978-4-431-65950-1_18openalex-snapshot
Consensus Methods for Pyramids and Other Hypergraphs
inferred← citeshttps://doi.org/10.1016/j.dam.2007.05.023openalex-snapshot
Systems of sets such that each set properly intersects at most one other set—Application to cluster analysis
inferred← citeshttps://doi.org/10.1016/j.dam.2016.12.019openalex-snapshot
Multilevel clustering models and interval convexities
inferred← citeshttps://doi.org/10.1016/s0167-8655(01)00115-5openalex-snapshot
Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm
inferred← citeshttps://doi.org/10.1023/b:nepl.0000011135.19145.1bopenalex-snapshot
Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm
inferred← citeshttps://doi.org/10.1093/molbev/msv027openalex-snapshot
Reconstructing (Super)Trees from Data Sets with Missing Distances: Not All Is Lost
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.