Cargando…

Finding reproducible cluster partitions for the k-means algorithm

K-means clustering is widely used for exploratory data analysis. While its dependence on initialisation is well-known, it is common practice to assume that the partition with lowest sum-of-squares (SSQ) total i.e. within cluster variance, is both reproducible under repeated initialisations and also...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lisboa, Paulo JG, Etchells, Terence A, Jarman, Ian H, Chambers, Simon J
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2013
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548705/ https://www.ncbi.nlm.nih.gov/pubmed/23369085 http://dx.doi.org/10.1186/1471-2105-14-S1-S8

Ejemplares similares

How to find simple and accurate rules for viral protease cleavage specificities
por: Rögnvaldsson, Thorsteinn, et al.
Publicado: (2009)

Partitional clustering algorithms
por: Celebi, M
Publicado: (2015)

Finding the mean in a partition distribution
por: Glassen, Thomas J., et al.
Publicado: (2018)

Clustering Using Boosted Constrained k-Means Algorithm
por: Okabe, Masayuki, et al.
Publicado: (2018)

On Finding and Enumerating Maximal and Maximum k-Partite Cliques in k-Partite Graphs
por: Phillips, Charles A., et al.
Publicado: (2019)

Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site rates
por: Frandsen, Paul B, et al.
Publicado: (2015)

A practical comparison of two K-Means clustering algorithms
por: Wilkin, Gregory A, et al.
Publicado: (2008)

Reproducibility of radiomic features using network analysis and its application in Wasserstein k-means clustering
por: Oh, Jung Hun, et al.
Publicado: (2021)

Towards Enhancement of Performance of K-Means Clustering Using Nature-Inspired Optimization Algorithms
por: Fong, Simon, et al.
Publicado: (2014)

Partitioning clustering algorithms for protein sequence data sets
por: Fayech, Sondes, et al.
Publicado: (2009)

The Comparison of Clustering Algorithms K-Means and Fuzzy C-Means for Segmentation Retinal Blood Vessels
por: Wiharto, Wiharto, et al.
Publicado: (2020)

Clustering performance comparison using K-means and expectation maximization algorithms
por: Jung, Yong Gyu, et al.
Publicado: (2014)

An Improved K-means Clustering Algorithm Towards an Efficient Data-Driven Modeling
por: Zubair, Md., et al.
Publicado: (2022)

Gate-Level Circuit Partitioning Algorithm Based on Clustering and an Improved Genetic Algorithm
por: Cheng, Rui, et al.
Publicado: (2023)

Balancing effort and benefit of K-means clustering algorithms in Big Data realms
por: Pérez-Ortega, Joaquín, et al.
Publicado: (2018)

An Improved Trilateration Positioning Algorithm with Anchor Node Combination and K-Means Clustering
por: Luo, Qinghua, et al.
Publicado: (2022)

An Entropy Regularization k-Means Algorithm with a New Measure of between-Cluster Distance in Subspace Clustering
por: Xiong, Liyan, et al.
Publicado: (2019)

An efficient clustering algorithm for partitioning Y-short tandem repeats data
por: Seman, Ali, et al.
Publicado: (2012)

Genetic weighted k-means algorithm for clustering large-scale gene expression data
por: Wu, Fang-Xiang
Publicado: (2008)

Unsupervised Cryo-EM Data Clustering through Adaptively Constrained K-Means Algorithm
por: Xu, Yaofang, et al.
Publicado: (2016)

A differential privacy protecting K-means clustering algorithm based on contour coefficients
por: Zhang, Yaling, et al.
Publicado: (2018)

Sound Detection Monitoring Tool in CNC Milling Sounds by K-Means Clustering Algorithm
por: Peng, Cheng-Yu, et al.
Publicado: (2021)

Research on cluster system distribution of traditional fort-type settlements in Shaanxi based on K-means clustering algorithm
por: Wang, Xuan, et al.
Publicado: (2022)

Community Partitioning over Feature-Rich Networks Using an Extended K-Means Method
por: Shalileh, Soroosh, et al.
Publicado: (2022)

The global Minmax k-means algorithm
por: Wang, Xiaoyan, et al.
Publicado: (2016)

The next‐generation K‐means algorithm
por: Demidenko, Eugene
Publicado: (2018)

K-means and hierarchical clustering with Python
por: Grus, Joel
Publicado: (2016)

k-means Cluster Shape Implications
por: Kłopotek, Mieczysław A., et al.
Publicado: (2020)

Kernel Probabilistic K-Means Clustering
por: Liu, Bowen, et al.
Publicado: (2021)

Algorithms for fuzzy clustering: methods in c-means clustering with applications
por: Miyamoto, Sadaaki, et al.
Publicado: (2008)

A novel harmony search-K means hybrid algorithm for clustering gene expression data
por: Nazeer, KA Abdul, et al.
Publicado: (2013)

A New-Fangled FES-k-Means Clustering Algorithm for Disease Discovery and Visual Analytics
por: Oyana, Tonny J
Publicado: (2010)

Sample Entropy Combined with the K-Means Clustering Algorithm Reveals Six Functional Networks of the Brain
por: Jia, Yanbing, et al.
Publicado: (2019)

Improving the Retrieval of Arabic Web Search Results Using Enhanced k-Means Clustering Algorithm
por: Alsuhaim, Amjad F., et al.
Publicado: (2021)

Identifying the presence of bacteria on digital images by using asymmetric distribution with k-means clustering algorithm
por: Satyanarayana, K. V., et al.
Publicado: (2021)

An Optimized Approach for Prostate Image Segmentation Using K-Means Clustering Algorithm with Elbow Method
por: Sammouda, Rachid, et al.
Publicado: (2021)

Selection and Optimization of Regional Economic Industrial Structure Based on Fuzzy k-Means Clustering Algorithm
por: Yuan, Honglin, et al.
Publicado: (2022)

Classification of bioinformatics workflows using weighted versions of partitioning and hierarchical clustering algorithms
por: Lord, Etienne, et al.
Publicado: (2015)

D3K: The Dissimilarity-Density-Dynamic Radius K-means Clustering Algorithm for scRNA-Seq Data
por: Liu, Guoyun, et al.
Publicado: (2022)

Reducing the Time Requirement of k-Means Algorithm
por: Osamor, Victor Chukwudi, et al.
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_tk2qgnps4grqi56bjt30suugl1