On the public citation graph

Additive clustering and qualitative factor analysis methods for similarity matrices

https://doi.org/10.1007/bf01890073
0 signed · 59 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1007/978-3-642-69280-2openalex-snapshot
Graphs and Genes
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/10.1016/0022-2496(75)90028-0openalex-snapshot
An algorithm for clustering relational data with applications to social network analysis and comparison with multidimensional scaling
inferredcites →https://doi.org/10.1016/0022-2496(78)90034-2openalex-snapshot
Constructing blockmodels: How and why
inferredcites →https://doi.org/10.1037//0033-295x.86.2.87openalex-snapshot
Additive clustering: Representation of similarities as combinations of discrete overlapping properties.
inferredcites →https://doi.org/10.1177/002224378101800305openalex-snapshot
Overlapping Clustering: A New Method for Product Positioning
inferredcites →https://doi.org/10.2307/2282293openalex-snapshot
Modern Factor Analysis.
inferredcites →https://doi.org/10.4324/9781003463108-19openalex-snapshot
Automation and Remote Control

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.ess0613openalex-snapshot
C luster Analysis
inferred← citeshttps://doi.org/10.1002/0471667196.ess0613.pub2openalex-snapshot
Cluster Analysis
inferred← citeshttps://doi.org/10.1002/asm.3150040406openalex-snapshot
Clusterwise aggregation of relations
inferred← citeshttps://doi.org/10.1002/asm.3150050309openalex-snapshot
Combinatorial data analysis: Confirmatory comparisons between sets of matrices
inferred← citeshttps://doi.org/10.1006/jmps.1999.1299openalex-snapshot
On the Complexity of Additive Clustering Models
inferred← citeshttps://doi.org/10.1007/978-0-85729-287-2_8openalex-snapshot
Approximate and Spectral Clustering for Network and Affinity Data
inferred← citeshttps://doi.org/10.1007/978-1-4614-8588-9_8openalex-snapshot
Summary and Semi-average Similarity Criteria for Individual Clusters
inferred← citeshttps://doi.org/10.1007/978-3-030-95239-6_5openalex-snapshot
An Optimal Transport Framework for Collaborative Multi-view Clustering
inferred← citeshttps://doi.org/10.1007/978-3-031-31654-8_9openalex-snapshot
From Prebase in Automata Theory to Data Analysis: Boris Mirkin’s Way
inferred← citeshttps://doi.org/10.1007/978-3-319-40192-8_4openalex-snapshot
Search for Cultural Attributes Appropriate for Design Ideals
inferred← citeshttps://doi.org/10.1007/978-3-642-05179-1_12openalex-snapshot
Cluster-Lift Method for Mapping Research Activities over a Concept Tree
inferred← citeshttps://doi.org/10.1007/978-3-642-13769-3_19openalex-snapshot
A Hybrid Cluster-Lift Method for the Analysis of Research Activities
inferred← citeshttps://doi.org/10.1007/978-3-642-15280-1_31openalex-snapshot
Constructing and Mapping Fuzzy Thematic Clusters to Higher Ranks in a Taxonomy
inferred← citeshttps://doi.org/10.1007/978-3-642-21881-1_43openalex-snapshot
Developing Additive Spectral Approach to Fuzzy Clustering
inferred← citeshttps://doi.org/10.1007/978-3-642-24693-7_14openalex-snapshot
Method for Intelligent Representation of Research Activities of an Organization over a Taxonomy of Its Field
inferred← citeshttps://doi.org/10.1007/978-3-642-24769-9_33openalex-snapshot
Thematic Fuzzy Clusters with an Additive Spectral Approach
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/10.1007/978-4-431-65950-1_4openalex-snapshot
Fitting Graphs and Trees with Multidimensional Scaling Methods
inferred← citeshttps://doi.org/10.1007/bf01195676openalex-snapshot
An alternating combinatorial optimization approach to fitting the INDCLUS and generalized INDCLUS models
inferred← citeshttps://doi.org/10.1007/bf01908603openalex-snapshot
Additive clustering and qualitative factor analysis methods for similarity matrices
inferred← citeshttps://doi.org/10.1007/bf01908715openalex-snapshot
A sequential fitting procedure for linear data analysis models
inferred← citeshttps://doi.org/10.1007/bf02458841openalex-snapshot
Weak hierarchies associated with similarity measures—An additive clustering technique
inferred← citeshttps://doi.org/10.1007/bf02614317openalex-snapshot
Cluster analysis and mathematical programming
inferred← citeshttps://doi.org/10.1007/bf03040857openalex-snapshot
Additive two-mode clustering: The error-variance approach revisited
inferred← citeshttps://doi.org/10.1007/s00214-009-0614-0openalex-snapshot
Similarity clustering of proteins using substantive knowledge and reconstruction of evolutionary gene histories in herpesvirus
inferred← citeshttps://doi.org/10.1007/s00357-015-9181-3openalex-snapshot
Kernel-Based Methods to Identify Overlapping Clusters with Linear and Nonlinear Boundaries
inferred← citeshttps://doi.org/10.1007/s00357-022-09416-wopenalex-snapshot
Community Detection in Feature-Rich Networks Using Data Recovery Approach
inferred← citeshttps://doi.org/10.1007/s10100-012-0258-3openalex-snapshot
Sequential clustering with radius and split criteria
inferred← citeshttps://doi.org/10.1007/s11336-019-09686-1openalex-snapshot
ROOTCLUS: Searching for “ROOT CLUSters” in Three-Way Proximity Data
inferred← citeshttps://doi.org/10.1007/s13278-021-00774-8openalex-snapshot
Summable and nonsummable data-driven models for community detection in feature-rich networks
inferred← citeshttps://doi.org/10.1016/0378-8733(90)90001-popenalex-snapshot
Blockmodels from the bond energy approach
inferred← citeshttps://doi.org/10.1016/j.csda.2004.02.003openalex-snapshot
Improved biclustering of microarray data demonstrated through systematic performance tests
inferred← citeshttps://doi.org/10.1016/j.ins.2011.09.009openalex-snapshot
Additive spectral method for fuzzy cluster analysis of similarity data including community structure and affinity matrices
inferred← citeshttps://doi.org/10.1016/s0378-8733(02)00015-1openalex-snapshot
Lattices and dimensional representations: matrix decompositions and ordering structures
inferred← citeshttps://doi.org/10.1016/s2589-7500(19)30013-5openalex-snapshot
Deriving a practical framework for the evaluation of health apps
inferred← citeshttps://doi.org/10.1023/a:1014112506867openalex-snapshot
A Simple Method for Generating Additive Clustering Models with Limited Complexity
inferred← citeshttps://doi.org/10.1081/sac-120023883openalex-snapshot
Identifying Multiple Cluster Structures in a Data Matrix
inferred← citeshttps://doi.org/10.1093/bioinformatics/btv414openalex-snapshot
A Bayesian approach for structure learning in oscillating regulatory networks
inferred← citeshttps://doi.org/10.1109/asonam49781.2020.9381321openalex-snapshot
A Data Recovery Method for Community Detection in Feature-Rich Networks
inferred← citeshttps://doi.org/10.1109/cibcb.2006.330944openalex-snapshot
Aggregating Homologous Protein Families in Evolutionary Reconstructions of Herpesviruses
inferred← citeshttps://doi.org/10.1111/exsy.12027openalex-snapshot
Laplacian normalization for deriving thematic fuzzy clusters with an additive spectral approach
inferred← citeshttps://doi.org/10.1162/neco.2008.04-07-504openalex-snapshot
Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach
inferred← citeshttps://doi.org/10.1201/b13101-9openalex-snapshot
References
inferred← citeshttps://doi.org/10.1214/lnms/1215454157openalex-snapshot
An $L\sb 1$-norm procedure for fitting overlapping clustering models to proximity data
inferred← citeshttps://doi.org/10.1371/journal.pone.0254377openalex-snapshot
Least-squares community extraction in feature-rich networks using similarity data
inferred← citeshttps://doi.org/10.15517/rmta.v1i1.99openalex-snapshot
Particiones óptimas: características y calidad de sus aproximaciones
inferred← citeshttps://doi.org/10.31234/osf.io/pq5kropenalex-snapshot
Common and distinctive features in stimulus representation: A modified version of the contrast model
inferred← citeshttps://doi.org/10.3758/bf03196728openalex-snapshot
Common and distinctive features in stimulus similarity: A modified version of the contrast model
inferred← citeshttps://doi.org/10.4236/me.2021.1211080openalex-snapshot
Verification of Clustering Accuracy by Applying Direction-Based Method and Data Conversion
inferred← citeshttps://doi.org/10.7551/mitpress/1114.003.0019openalex-snapshot
Minimum Description Length and Psychological Clustering Models
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.