matlab k-means method Search Results


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K Means Clustering (Matlab, Version 7.0), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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K Means Clustering Method, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Kmeans Clustering, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Matlab K Means Method, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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K Means, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc matlab function kmeans
In this heat map, the rows correspond to each species and the columns correspond to the <t>proteomic</t> features; therefore, each row depicts the subset of 5 proteomic features per given archaeon. Normalized values of each feature are associated with the colors in the heat map as shown on the legend on the left side. The cluster tree was built with correlation metric and average linkage, same as in <xref ref-type= Fig. 1 . Three main phyloecological clusters are highlighted with three different colors of the branches (yellow: hyperthermophiles and hyperthermoacidophiles; blue: halophiles and extreme halophiles; red: mesophilic methanogens and thermoacidophiles). " width="250" height="auto" />
Matlab Function Kmeans, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc k-means clustering
In this heat map, the rows correspond to each species and the columns correspond to the <t>proteomic</t> features; therefore, each row depicts the subset of 5 proteomic features per given archaeon. Normalized values of each feature are associated with the colors in the heat map as shown on the legend on the left side. The cluster tree was built with correlation metric and average linkage, same as in <xref ref-type= Fig. 1 . Three main phyloecological clusters are highlighted with three different colors of the branches (yellow: hyperthermophiles and hyperthermoacidophiles; blue: halophiles and extreme halophiles; red: mesophilic methanogens and thermoacidophiles). " width="250" height="auto" />
K Means Clustering, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc k-means clustering method matlab r2009a
In this heat map, the rows correspond to each species and the columns correspond to the <t>proteomic</t> features; therefore, each row depicts the subset of 5 proteomic features per given archaeon. Normalized values of each feature are associated with the colors in the heat map as shown on the legend on the left side. The cluster tree was built with correlation metric and average linkage, same as in <xref ref-type= Fig. 1 . Three main phyloecological clusters are highlighted with three different colors of the branches (yellow: hyperthermophiles and hyperthermoacidophiles; blue: halophiles and extreme halophiles; red: mesophilic methanogens and thermoacidophiles). " width="250" height="auto" />
K Means Clustering Method Matlab R2009a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc k-means clustering procedure
In this heat map, the rows correspond to each species and the columns correspond to the <t>proteomic</t> features; therefore, each row depicts the subset of 5 proteomic features per given archaeon. Normalized values of each feature are associated with the colors in the heat map as shown on the legend on the left side. The cluster tree was built with correlation metric and average linkage, same as in <xref ref-type= Fig. 1 . Three main phyloecological clusters are highlighted with three different colors of the branches (yellow: hyperthermophiles and hyperthermoacidophiles; blue: halophiles and extreme halophiles; red: mesophilic methanogens and thermoacidophiles). " width="250" height="auto" />
K Means Clustering Procedure, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc r2016b
In this heat map, the rows correspond to each species and the columns correspond to the <t>proteomic</t> features; therefore, each row depicts the subset of 5 proteomic features per given archaeon. Normalized values of each feature are associated with the colors in the heat map as shown on the legend on the left side. The cluster tree was built with correlation metric and average linkage, same as in <xref ref-type= Fig. 1 . Three main phyloecological clusters are highlighted with three different colors of the branches (yellow: hyperthermophiles and hyperthermoacidophiles; blue: halophiles and extreme halophiles; red: mesophilic methanogens and thermoacidophiles). " width="250" height="auto" />
R2016b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc k-means methods matlab's statistics toolbox
In this heat map, the rows correspond to each species and the columns correspond to the <t>proteomic</t> features; therefore, each row depicts the subset of 5 proteomic features per given archaeon. Normalized values of each feature are associated with the colors in the heat map as shown on the legend on the left side. The cluster tree was built with correlation metric and average linkage, same as in <xref ref-type= Fig. 1 . Three main phyloecological clusters are highlighted with three different colors of the branches (yellow: hyperthermophiles and hyperthermoacidophiles; blue: halophiles and extreme halophiles; red: mesophilic methanogens and thermoacidophiles). " width="250" height="auto" />
K Means Methods Matlab's Statistics Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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In this heat map, the rows correspond to each species and the columns correspond to the proteomic features; therefore, each row depicts the subset of 5 proteomic features per given archaeon. Normalized values of each feature are associated with the colors in the heat map as shown on the legend on the left side. The cluster tree was built with correlation metric and average linkage, same as in <xref ref-type= Fig. 1 . Three main phyloecological clusters are highlighted with three different colors of the branches (yellow: hyperthermophiles and hyperthermoacidophiles; blue: halophiles and extreme halophiles; red: mesophilic methanogens and thermoacidophiles). " width="100%" height="100%">

Journal: PLoS ONE

Article Title: Proteomic Properties Reveal Phyloecological Clusters of Archaea

doi: 10.1371/journal.pone.0048231

Figure Lengend Snippet: In this heat map, the rows correspond to each species and the columns correspond to the proteomic features; therefore, each row depicts the subset of 5 proteomic features per given archaeon. Normalized values of each feature are associated with the colors in the heat map as shown on the legend on the left side. The cluster tree was built with correlation metric and average linkage, same as in Fig. 1 . Three main phyloecological clusters are highlighted with three different colors of the branches (yellow: hyperthermophiles and hyperthermoacidophiles; blue: halophiles and extreme halophiles; red: mesophilic methanogens and thermoacidophiles).

Article Snippet: We applied k -means clustering on the subset of the proteomic features (Matlab function kmeans , Statistics Toolbox; correlation distance metric, initial cluster position selected at random, and repeating the procedure 8 times, see ).

Techniques: