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The next‐generation K‐means algorithm
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9780470191590.ch13openalex-snapshot
Testing Statistical Hypotheses
inferredcites →https://doi.org/10.1002/sam.11379openalex-snapshot
The next‐generation K‐means algorithm
inferredcites →https://doi.org/10.1007/3-540-45372-5_26openalex-snapshot
Quality Scheme Assessment in the Clustering Process
inferredcites →https://doi.org/10.1007/978-0-387-84858-7openalex-snapshot
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1007/bf01908065openalex-snapshot
On some significance tests in cluster analysis
inferredcites →https://doi.org/10.1007/bf02249940openalex-snapshot
A fast algorithm for clusterwise linear regression
inferredcites →https://doi.org/10.1007/s10957-007-9298-6openalex-snapshot
Criteria for Unconstrained Global Optimization
inferredcites →https://doi.org/10.1016/0377-0427(87)90125-7openalex-snapshot
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
inferredcites →https://doi.org/10.1016/0378-3758(89)90033-5openalex-snapshot
Algorithms for clustering data
inferredcites →https://doi.org/10.1016/j.bpj.2014.06.033openalex-snapshot
If Cell Mechanics Can Be Described by Elastic Modulus: Study of Different Models and Probes Used in Indentation Experiments
inferredcites →https://doi.org/10.1016/j.ins.2013.03.056openalex-snapshot
Robust constrained fuzzy clustering
inferredcites →https://doi.org/10.1016/j.patcog.2014.01.015openalex-snapshot
The MinMax k-Means clustering algorithm
inferredcites →https://doi.org/10.1016/j.patrec.2005.09.028openalex-snapshot
Feature selection in robust clustering based on Laplace mixture
inferredcites →https://doi.org/10.1016/j.patrec.2009.09.011openalex-snapshot
Data clustering: 50 years beyond K-means
inferredcites →https://doi.org/10.1016/s0898-1221(96)90463-0openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1039/c0an00366bopenalex-snapshot
Detection of cancerous cervical cells using physical adhesion of fluorescent silica particles and centripetal force
inferredcites →https://doi.org/10.1080/02664763.2013.784896openalex-snapshot
Multivariate linear regression for heterogeneous data
inferredcites →https://doi.org/10.1080/03610927408827101openalex-snapshot
A dendrite method for cluster analysis
inferredcites →https://doi.org/10.1093/bioinformatics/btx393openalex-snapshot
ClusterSignificance: a bioconductor package facilitating statistical analysis of class cluster separations in dimensionality reduced data
inferredcites →https://doi.org/10.1093/biomet/65.2.273openalex-snapshot
Asymptotic Behaviour of Classification Maximum Likelihood Estimates
inferredcites →https://doi.org/10.1111/1467-9868.00293openalex-snapshot
Estimating the Number of Clusters in a Data Set Via the Gap Statistic
inferredcites →https://doi.org/10.1111/biom.12647openalex-snapshot
Statistical Significance for Hierarchical Clustering
inferredcites →https://doi.org/10.1172/jci65833openalex-snapshot
Prognostically relevant gene signatures of high-grade serous ovarian carcinoma
inferredcites →https://doi.org/10.1186/s13040-014-0033-1openalex-snapshot
Microarray enriched gene rank
inferredcites →https://doi.org/10.1198/016214508000000454openalex-snapshot
Statistical Significance of Clustering for High-Dimension, Low–Sample Size Data
inferredcites →https://doi.org/10.1198/tech.2004.s754openalex-snapshot
An Introduction to Multivariate Statistical Analysis
inferredcites →https://doi.org/10.1201/9781315373577openalex-snapshot
Mixture Model-Based Classification
inferredcites →https://doi.org/10.1207/s15327906mbr0503_6openalex-snapshot
PATTERN CLUSTERING BY MULTIVARIATE MIXTURE ANALYSIS
inferredcites →https://doi.org/10.1214/aop/1176993713openalex-snapshot
A Central Limit Theorem for $k$-Means Clustering
inferredcites →https://doi.org/10.17615/hvp3-wg08openalex-snapshot
Integrated genomic analyses of ovarian carcinoma
inferredcites →https://doi.org/10.2307/2346830openalex-snapshot
Algorithm AS 136: A K-Means Clustering Algorithm
inferredcites →https://doi.org/10.2307/2531893openalex-snapshot
A Criterion for Determining the Number of Groups in a Data Set Using Sum-of-Squares Clustering
inferredcites →https://doi.org/10.2307/2532201openalex-snapshot
Model-Based Gaussian and Non-Gaussian Clustering
inferredcites →https://doi.org/10.2478/amcs-2014-0012openalex-snapshot
Center-based l1–clustering method
inferredcites →https://doi.org/10.48550/arxiv.1411.5259openalex-snapshot
Statistical Significance for Hierarchical Clustering
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1016/j.ecoinf.2024.102891openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.gpb.2023.06.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jhep.2025.02.023openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.seps.2024.102018openalex-snapshot
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scm6A-seq reveals single-cell landscapes of the dynamic m6A during oocyte maturation and early embryonic development
inferred← citeshttps://doi.org/10.1080/10618600.2024.2429706openalex-snapshot
Functional Projection K -means
inferred← citeshttps://doi.org/10.1111/tpj.15905openalex-snapshot
Unsupervised and semi‐supervised learning: the next frontier in machine learning for plant systems biology
inferred← citeshttps://doi.org/10.1136/bjo-2023-323592openalex-snapshot
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inferred← citeshttps://doi.org/10.1136/bmjopen-2021-053237openalex-snapshot
Monitoring of SARS-CoV-2 seroprevalence among primary healthcare patients in the Barcelona Metropolitan Area: the SeroCAP sentinel network protocol
inferred← citeshttps://doi.org/10.1145/3735977openalex-snapshot
Clustering Categorical Data via Multiple Hypothesis Testing
inferred← citeshttps://doi.org/10.2196/24889openalex-snapshot
A Novel Machine Learning Framework for Comparison of Viral COVID-19–Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis
inferred← citeshttps://doi.org/10.3389/fmicb.2023.1211999openalex-snapshot
The man, the plant, and the insect: shooting host specificity determinants in Serratia marcescens pangenome
inferred← citeshttps://doi.org/10.3389/fpls.2025.1647411openalex-snapshot
Forewarned is forearmed: rice plants develop tolerance to post-anoxia during anoxic conditions by proteomic changes
inferred← citeshttps://doi.org/10.3390/biomedinformatics4010017openalex-snapshot
Artificial Intelligence Analysis and Reverse Engineering of Molecular Subtypes of Diffuse Large B-Cell Lymphoma Using Gene Expression Data
inferred← citeshttps://doi.org/10.3390/ijms22052244openalex-snapshot
The Distribution of Several Genomic Virulence Determinants Does Not Corroborate the Established Serotyping Classification of Bacillus thuringiensis
inferred← citeshttps://doi.org/10.3390/ijms26135961openalex-snapshot
Ovarian Cancer: Multi-Omics Data Integration
inferred← citeshttps://doi.org/10.5023/jappstat.50.1openalex-snapshot
Clusterwise Multivariate Kernel Ridge Regression Analysis with an Application
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