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An Algebraic Approach to Clustering and Classification with Support Vector Machines

https://doi.org/10.3390/math10010128
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What this work says

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

inferredcites →https://doi.org/10.1002/int.21659openalex-snapshot
A Fuzzy Bayesian Classifier with Learned Mahalanobis Distance
inferredcites →https://doi.org/10.1007/bf02289146openalex-snapshot
A Method of Matrix Analysis of Group Structure
inferredcites →https://doi.org/10.1007/bf03325089openalex-snapshot
Data Preparation for Mining World Wide Web Browsing Patterns
inferredcites →https://doi.org/10.1007/s10107-011-0459-xopenalex-snapshot
Nuclear norm minimization for the planted clique and biclique problems
inferredcites →https://doi.org/10.1007/s10107-013-0729-xopenalex-snapshot
Guaranteed clustering and biclustering via semidefinite programming
inferredcites →https://doi.org/10.1007/s10107-013-0733-1openalex-snapshot
Convex optimization for the planted k-disjoint-clique problem
inferredcites →https://doi.org/10.1007/s13042-016-0554-7openalex-snapshot
Multiple birth least squares support vector machine for multi-class classification
inferredcites →https://doi.org/10.1007/s13369-021-06177-3openalex-snapshot
Classification Based on Structural Information in Data
inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot
Data Mining: Practical Machine Learning Tools and Techniques
inferredcites →https://doi.org/10.1016/j.eswa.2008.07.018openalex-snapshot
Knowledge discovery on RFM model using Bernoulli sequence
inferredcites →https://doi.org/10.1016/j.patrec.2009.09.011openalex-snapshot
Data clustering: 50 years beyond K-means
inferredcites →https://doi.org/10.1023/a:1009715923555openalex-snapshot
A Tutorial on Support Vector Machines for Pattern Recognition
inferredcites →https://doi.org/10.1023/b:stco.0000035301.49549.88openalex-snapshot
A tutorial on support vector regression
inferredcites →https://doi.org/10.1089/106652799318274openalex-snapshot
Clustering Gene Expression Patterns
inferredcites →https://doi.org/10.1109/ssci.2018.8628716openalex-snapshot
Exploring Data Reduction Techniques for Time Efficient Support Vector Machine Classifiers
inferredcites →https://doi.org/10.1109/tkde.2009.116openalex-snapshot
Efficient Algorithm for Localized Support Vector Machine
inferredcites →https://doi.org/10.1109/tpami.2007.1068openalex-snapshot
Twin Support Vector Machines for Pattern Classification
inferredcites →https://doi.org/10.1111/j.1467-8640.2012.00450.xopenalex-snapshot
A GRAPH‐BASED APPROACH FOR SEMISUPERVISED CLUSTERING
inferredcites →https://doi.org/10.1137/1.9781611972771.45openalex-snapshot
Localized Support Vector Machine and Its Efficient Algorithm
inferredcites →https://doi.org/10.1145/133160.133214openalex-snapshot
Scatter/Gather: a cluster-based approach to browsing large document collections
inferredcites →https://doi.org/10.1145/299432.299448openalex-snapshot
Clustering gene expression patterns
inferredcites →https://doi.org/10.1287/opre.43.4.570openalex-snapshot
Breast Cancer Diagnosis and Prognosis Via Linear Programming
inferredcites →https://doi.org/10.1504/ijbidm.2005.007318openalex-snapshot
Support vector machines based on K-means clustering for real-time business intelligence systems
inferredcites →https://doi.org/10.17654/as065010033openalex-snapshot
ON USING STRUCTURAL PATTERNS IN DATA FOR CLASSIFICATION
inferredcites →https://doi.org/10.2307/3151680openalex-snapshot
Cluster Analysis in Marketing Research: Review and Suggestions for Application
inferredcites →https://doi.org/10.3390/math9030291openalex-snapshot
A Multi-Strategy Marine Predator Algorithm and Its Application in Joint Regularization Semi-Supervised ELM
inferredcites →https://doi.org/10.3906/elk-1304-139openalex-snapshot
Fast and de-noise support vector machine training method based on fuzzy clustering method for large real world datasets
inferredcites →https://doi.org/10.48550/arxiv.1603.05296openalex-snapshot
Exact Clustering of Weighted Graphs via Semidefinite Programming
inferredcites →https://doi.org/10.5555/2627435.2670322openalex-snapshot
Clustering partially observed graphs via convex optimization
inferredcites →https://doi.org/10.5555/3322706.3361971openalex-snapshot
Exact clustering of weighted graphs via semidefinite programming
inferredcites →https://doi.org/10.7551/mitpress/4175.001.0001openalex-snapshot
Learning with Kernels
inferredcites →https://doi.org/10.7551/mitpress/9780262033589.001.0001openalex-snapshot
Semi-Supervised Learning

What points at this work

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

inferred← citeshttps://doi.org/10.5281/zenodo.21438735zenodo-depositor-declared
inferred← citeshttps://doi.org/10.5281/zenodo.21500706zenodo-depositor-declared
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inferred← citeshttps://doi.org/10.1016/j.ijhydene.2025.02.080openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/urucon63440.2024.10850470openalex-snapshot
Predictive Modeling for Patient Hospitalization: Enhancing Healthcare Outcomes
inferred← citeshttps://doi.org/10.18576/amis/170510openalex-snapshot
Compatibility of Clique Clustering Algorithm with Dimensionality Reduction
inferred← citeshttps://doi.org/10.3390/electronics11121854openalex-snapshot
Improved Boundary Support Vector Clustering with Self-Adaption Support
inferred← citeshttps://doi.org/10.3390/math10193579openalex-snapshot
Using Domain Adaptation for Incremental SVM Classification of Drift Data
inferred← citeshttps://doi.org/10.4018/jcit.335945openalex-snapshot
Selecting Indispensable Edge Patterns With Adaptive Sampling and Double Local Analysis for Data Description
inferred← citeshttps://doi.org/10.5281/zenodo.21438734openalex-snapshot
Clique-Reduction Pipeline: Clique-Topology-Based Dataset Reduction with Nested Cross-Validation
inferred← citeshttps://doi.org/10.5281/zenodo.21500705openalex-snapshot
Clique-Reduction Pipeline: Clique-Topology-Based Dataset Reduction with Nested Cross-Validation
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