Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site rates

Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site rates

Bibliographic Details
Main Authors:	Frandsen, Paul B, Calcott, Brett, Mayer, Christoph, Lanfear, Robert
Format:	Online
Language:	English
Published:	BioMed Central 2015
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327964/

Similar Items

Selecting optimal partitioning schemes for phylogenomic datasets
by: Lanfear, Robert, et al.
Published: (2014)

Finding reproducible cluster partitions for the k-means algorithm
by: Lisboa, Paulo JG, et al.
Published: (2013)

Semisupervised Clustering by Iterative Partition and Regression with Neuroscience Applications
by: Qian, Guoqi, et al.
Published: (2016)

Estimating the Effective Sample Size of Tree Topologies from Bayesian Phylogenetic Analyses
by: Lanfear, Robert, et al.
Published: (2016)

An Iterated Tabu Search Approach for the Clique Partitioning Problem
by: Palubeckis, Gintaras, et al.
Published: (2014)

The performance of K-Means and K-Modes clustering to identify cluster in numerical data
by: Mohd Zulhimi Bin Zolkefali
Published: (2017)

Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs
by: Hartsperger, Mara L, et al.
Published: (2010)

Dichotomy of iterated means for nonlinear operators
by: Saburov, Mansoor
Published: (2018)

Mitogenome Phylogenetics: The Impact of Using Single Regions and Partitioning Schemes on Topology, Substitution Rate and Divergence Time Estimation
by: Duchêne, Sebastián, et al.
Published: (2011)

An iterative network partition algorithm for accurate identification of dense network modules
by: Sun, Siqi, et al.
Published: (2012)

Automatic Recognition of Acute Myelogenous Leukemia in Blood Microscopic Images Using K-means Clustering and Support Vector Machine
by: Kazemi, Fatemeh, et al.
Published: (2016)

Automatic Segmentation of Dermoscopic Images by Iterative Classification
by: Zortea, Maciel, et al.
Published: (2011)

A Hybrid Sales Forecasting Scheme by Combining Independent Component Analysis with K-Means Clustering and Support Vector Regression
by: Lu, Chi-Jie, et al.
Published: (2014)

Efficient partitioning schemes for fluid‐structure interaction problems
by: R.K., Singh, et al.
Published: (1990)

An efficient iterative scheme using family of chebyshev's operations
by: Mahdavi, S.H., et al.
Published: (2015)

Local outlier factor in rough K-means clustering
by: Part Time Mohd Zulhimi bin Zolkefali
Published: (2017)

K-Means Clustering Approach for Improving Financial Forecasts
by: Țole Alexandru - Adrian
Published: (2018-01-01)

On the Geodesic Distance in Shapes K-means Clustering
by: Stefano Antonio Gattone, et al.
Published: (2018-08-01)

Multimorbidity patterns with K-means nonhierarchical cluster analysis
by: Concepción Violán, et al.
Published: (2018-07-01)

Using k-means clustering in international location decision
by: Waqas, Khalid, et al.
Published: ()

MSCTrees: a mean-shift based toolkit for cluster analysis of phylogenetic trees
by: Li, Weixi, et al.
Published: (2011)

Improved initial cluster center selection in K-means clustering
by: Minchen, Zhu, et al.
Published: (2014)

The Median Problem on k-Partite Graphs
by: Pravas Karuvachery, et al.
Published: (2015-08-01)

Accelerating the Robin iteration procedure by means of GMRES
by: S., Alfonzetti, et al.
Published: (1998)

Sifting through genomes with iterative-sequence clustering produces a large, phylogenetically diverse protein-family resource
by: Sharpton, Thomas J, et al.
Published: (2012)

The Innovation Iteration Grid
by: Brett, Trusko
Published: (2009)

Phylogenetic, epidemiological and functional analyses of the Streptococcus bovis/Streptococcus equinus complex through an overarching MLST scheme
by: Jans, Christoph, et al.
Published: (2016)

Weighted spectral clustering for water distribution network partitioning
by: Armando Di Nardo, et al.
Published: (2017-06-01)

Active learning framework with iterative clustering for bioimage classification
by: Kutsuna, Natsumaro, et al.
Published: (2012)

Stepwise iterative maximum likelihood clustering approach
by: Sharma, Alok, et al.
Published: (2016)

Epidemic Reconstruction in a Phylogenetics Framework: Transmission Trees as Partitions of the Node Set
by: Hall, Matthew, et al.
Published: (2015)

Automated analysis of phylogenetic clusters
by: Ragonnet-Cronin, Manon, et al.
Published: (2013)

XML data partitioning schemes for parallel holistic twig joins
by: Imam, Machdi, et al.
Published: (2009)

MEGSOR iterative scheme for the solution of 2D elliptic PDEs.
by: Sulaiman, J., et al.
Published: (2010)

MEGSOR iterative scheme applied to 2D steady convection-diffusion equations
by: Jumat Sulaiman,, et al.

Four Point High Order Compact Iterative Schemes For The Solution Of The Helmholtz Equation
by: Teng, Wai Ping
Published: (2015)

A Novel Iterative Scheme and Its Application to Differential Equations
by: Khan, Yasir, et al.
Published: (2014)

On a New Iterative Scheme without Memory with Optimal Eighth Order
by: Sharifi, M., et al.
Published: (2014)

Clustering techniques for human posture recognition: K-Means, FCM and SOM
by: Kiran, Maleeha, et al.
Published: (2009)

K-means clustering to improve the accuracy of decision tree response classification.
by: Ali, S. A., et al.
Published: (2009)