On the public citation graph

On the Optimal Partitioning of Data with K-Means, Growing K-Means, Neural Gas, and Growing Neural Gas

https://doi.org/10.1021/ci020270w

0 signed · 42 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1002/9780470316801openalex-snapshot

Finding Groups in Data

inferredcites →https://doi.org/10.1007/978-3-642-56927-2openalex-snapshot

Self-Organizing Maps

inferredcites →https://doi.org/10.1007/bf03380181openalex-snapshot

Cluster-based selection

inferredcites →https://doi.org/10.1016/s0169-7439(01)00179-4openalex-snapshot

The Neural-Gas network for classifying analytical data

inferredcites →https://doi.org/10.1021/ac00243a017openalex-snapshot

Hierarchical nonhierarchical clustering strategy and application to classification of iron meteorites according to their trace element patterns

What points at this work

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

inferred← citeshttps://doi.org/10.1002/qsar.200330860openalex-snapshot

Status of HTS Data Mining Approaches

inferred← citeshttps://doi.org/10.1007/11893011_128openalex-snapshot

Neural Network Approach for Learning of the World Structure by Cognitive Agents

inferred← citeshttps://doi.org/10.1007/3-540-44869-1_26openalex-snapshot

Self-Organizing Maps versus Growing Neural Gas in a Robotic Application

inferred← citeshttps://doi.org/10.1007/978-3-540-75867-9_115openalex-snapshot

Extending the Growing Neural Gas Classifier for Context Recognition

inferred← citeshttps://doi.org/10.1007/s00216-004-2582-5openalex-snapshot

Density-based clustering for exploration of analytical data

inferred← citeshttps://doi.org/10.1007/s00894-026-06815-3openalex-snapshot

TGMin-MLP: a new package for predicting the structures of the mono- and poly-nuclear clusters by the machine learning method

inferred← citeshttps://doi.org/10.1007/s10579-012-9205-0openalex-snapshot

Evaluating Word Sense Induction and Disambiguation Methods

inferred← citeshttps://doi.org/10.1016/b978-0-08-100596-5.22901-6openalex-snapshot

Introduction to Data Analysis in Omics Sciences

inferred← citeshttps://doi.org/10.1016/b978-0-444-64165-6.03005-6openalex-snapshot

Density-Based Clustering Methods

inferred← citeshttps://doi.org/10.1016/b978-044452701-1.00067-3openalex-snapshot

Density-Based Clustering Methods

inferred← citeshttps://doi.org/10.1016/bs.coac.2018.08.005openalex-snapshot

Exploratory Analysis of Metabolomic Data

inferred← citeshttps://doi.org/10.1016/bs.mcb.2020.04.013openalex-snapshot

Mechanical expansion microscopy

inferred← citeshttps://doi.org/10.1016/j.chemolab.2011.11.005openalex-snapshot

Dissimilarity partial least squares applied to non-linear modeling problems

inferred← citeshttps://doi.org/10.1016/j.cmpb.2005.02.001openalex-snapshot

Mapping the dimensionality, density and topology of data: The growing adaptive neural gas

inferred← citeshttps://doi.org/10.1016/j.jhydrol.2017.04.047openalex-snapshot

Regional frequency analysis using Growing Neural Gas network

inferred← citeshttps://doi.org/10.1016/j.jpba.2016.04.016openalex-snapshot

Chemometrics and the identification of counterfeit medicines—A review

inferred← citeshttps://doi.org/10.1016/j.mechmachtheory.2020.103978openalex-snapshot

A Learning Framework to inverse kinematics of high DOF redundant manipulators

inferred← citeshttps://doi.org/10.1016/j.neucom.2007.12.024openalex-snapshot

Following non-stationary distributions by controlling the vector quantization accuracy of a growing neural gas network

inferred← citeshttps://doi.org/10.1016/j.trac.2012.05.005openalex-snapshot

Concept of (dis)similarity in data analysis

inferred← citeshttps://doi.org/10.1021/ci0342674openalex-snapshot

Clustering Files of Chemical Structures Using the Fuzzy k -Means Clustering Method

inferred← citeshttps://doi.org/10.1080/09593960500049332openalex-snapshot

Market Basket Analysis by Means of a Growing Neural Network

inferred← citeshttps://doi.org/10.1101/2023.08.04.552060openalex-snapshot

Antigen properties shape organization of FcεRI aggregates to tune mast cell signaling

inferred← citeshttps://doi.org/10.1109/bracis.2014.66openalex-snapshot

A Stable and Online Approach to Detect Concept Drift in Data Streams

inferred← citeshttps://doi.org/10.1109/cimsa.2004.1397253openalex-snapshot

A comparison of neural networks architectures for geometric modelling of 3D objects

inferred← citeshttps://doi.org/10.1109/dexa.2010.25openalex-snapshot

Scalable Recursive Top-Down Hierarchical Clustering Approach with Implicit Model Selection for Textual Data Sets

inferred← citeshttps://doi.org/10.1109/dexa.2011.54openalex-snapshot

Model Selection Strategies for Author Disambiguation

inferred← citeshttps://doi.org/10.1109/iciap.2003.1234077openalex-snapshot

Visual self-localisation using automatic topology construction

inferred← citeshttps://doi.org/10.1109/sbrn.2012.22openalex-snapshot

A Density-Based Clustering Approach for Behavior Change Detection in Data Streams

inferred← citeshttps://doi.org/10.1109/tim.2005.860862openalex-snapshot

Neural-Network-Based Models of 3-D Objects for Virtualized Reality: A Comparative Study

inferred← citeshttps://doi.org/10.11606/t.55.2012.tde-12062012-085839openalex-snapshot

Adaptação de viés indutivo de algoritmos de agrupamento de fluxos de dados

inferred← citeshttps://doi.org/10.11606/t.55.2017.tde-13112017-105506openalex-snapshot

Employing nonlinear time series analysis tools with stable clustering algorithms for detecting concept drift on data streams

inferred← citeshttps://doi.org/10.1177/14780771231168229openalex-snapshot

Speculative hybrids: Investigating the generation of conceptual architectural forms through the use of 3D generative adversarial networks

inferred← citeshttps://doi.org/10.3233/ida-140636openalex-snapshot

Unsupervised density-based behavior change detection in data streams

inferred← citeshttps://doi.org/10.4018/978-1-4666-4038-2.ch014openalex-snapshot

Intention Prediction Mechanism in an Intentional Pervasive Information System

inferred← citeshttps://doi.org/10.5281/zenodo.1081940openalex-snapshot

Generating Normally Distributed Clusters By Means Of A Self-Organizing Growing Neural Network– An Application To Market Segmentation –

inferred← citeshttps://doi.org/10.5740/jaoacint.sgedrabopenalex-snapshot

Clustering in Analytical Chemistry

inferred← citeshttps://doi.org/10.6339/jds.2006.04(2).251openalex-snapshot

A Growing Self-Organizing Neural Network for Lifestyle Segmentation

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.