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dendrogram function  (MathWorks Inc)


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    MathWorks Inc dendrogram function
    Example <t>dendrogram</t> for frequency band definition using hierarchical clustering Hierarchical clustering dendrogram derived from PFC ECoG signals. Frequency bins (y-axis) are grouped by the similarity of their temporal power profiles, measured by correlation distance (x-axis; smaller distance indicates higher similarity). Branch colors are visual aids automatically assigned by MATLAB. Brackets and labels illustrate an example of manually defined frequency bands (e.g., Theta, Alpha, Beta sub-bands, Gamma) resulting from user interpretation of the clustering structure. See also .
    Dendrogram Function, 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
    https://www.bioz.com/result/dendrogram function/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    dendrogram function - by Bioz Stars, 2026-03
    90/100 stars

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    1) Product Images from "Protocol for assisting frequency band definition and decoding neural dynamics using hierarchical clustering and multivariate pattern analysis"

    Article Title: Protocol for assisting frequency band definition and decoding neural dynamics using hierarchical clustering and multivariate pattern analysis

    Journal: STAR Protocols

    doi: 10.1016/j.xpro.2025.103870

    Example dendrogram for frequency band definition using hierarchical clustering Hierarchical clustering dendrogram derived from PFC ECoG signals. Frequency bins (y-axis) are grouped by the similarity of their temporal power profiles, measured by correlation distance (x-axis; smaller distance indicates higher similarity). Branch colors are visual aids automatically assigned by MATLAB. Brackets and labels illustrate an example of manually defined frequency bands (e.g., Theta, Alpha, Beta sub-bands, Gamma) resulting from user interpretation of the clustering structure. See also .
    Figure Legend Snippet: Example dendrogram for frequency band definition using hierarchical clustering Hierarchical clustering dendrogram derived from PFC ECoG signals. Frequency bins (y-axis) are grouped by the similarity of their temporal power profiles, measured by correlation distance (x-axis; smaller distance indicates higher similarity). Branch colors are visual aids automatically assigned by MATLAB. Brackets and labels illustrate an example of manually defined frequency bands (e.g., Theta, Alpha, Beta sub-bands, Gamma) resulting from user interpretation of the clustering structure. See also .

    Techniques Used: Derivative Assay

    Visualization of conventional and hierarchically derived frequency band boundaries on the average TFR (A) The average TFR of normalized ECoG power in the PFC is shown in both panels (color indicates normalized power). Overlaid horizontal dashed lines illustrate different frequency band definitions: the left panel depicts conventional band boundaries, while the right panel shows example boundaries derived from hierarchical clustering. (B) The hierarchical clustering dendrogram (same as ) is shown alongside for reference to the bands used in panel (A), right.
    Figure Legend Snippet: Visualization of conventional and hierarchically derived frequency band boundaries on the average TFR (A) The average TFR of normalized ECoG power in the PFC is shown in both panels (color indicates normalized power). Overlaid horizontal dashed lines illustrate different frequency band definitions: the left panel depicts conventional band boundaries, while the right panel shows example boundaries derived from hierarchical clustering. (B) The hierarchical clustering dendrogram (same as ) is shown alongside for reference to the bands used in panel (A), right.

    Techniques Used: Derivative Assay



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    Image Search Results


    Example dendrogram for frequency band definition using hierarchical clustering Hierarchical clustering dendrogram derived from PFC ECoG signals. Frequency bins (y-axis) are grouped by the similarity of their temporal power profiles, measured by correlation distance (x-axis; smaller distance indicates higher similarity). Branch colors are visual aids automatically assigned by MATLAB. Brackets and labels illustrate an example of manually defined frequency bands (e.g., Theta, Alpha, Beta sub-bands, Gamma) resulting from user interpretation of the clustering structure. See also .

    Journal: STAR Protocols

    Article Title: Protocol for assisting frequency band definition and decoding neural dynamics using hierarchical clustering and multivariate pattern analysis

    doi: 10.1016/j.xpro.2025.103870

    Figure Lengend Snippet: Example dendrogram for frequency band definition using hierarchical clustering Hierarchical clustering dendrogram derived from PFC ECoG signals. Frequency bins (y-axis) are grouped by the similarity of their temporal power profiles, measured by correlation distance (x-axis; smaller distance indicates higher similarity). Branch colors are visual aids automatically assigned by MATLAB. Brackets and labels illustrate an example of manually defined frequency bands (e.g., Theta, Alpha, Beta sub-bands, Gamma) resulting from user interpretation of the clustering structure. See also .

    Article Snippet: Note: The dendrogram function in MATLAB automatically assigns colors to different branches based on the cluster hierarchy and the specified `ColorThreshold` parameter (default 0.5, adjustable by the user).

    Techniques: Derivative Assay

    Visualization of conventional and hierarchically derived frequency band boundaries on the average TFR (A) The average TFR of normalized ECoG power in the PFC is shown in both panels (color indicates normalized power). Overlaid horizontal dashed lines illustrate different frequency band definitions: the left panel depicts conventional band boundaries, while the right panel shows example boundaries derived from hierarchical clustering. (B) The hierarchical clustering dendrogram (same as ) is shown alongside for reference to the bands used in panel (A), right.

    Journal: STAR Protocols

    Article Title: Protocol for assisting frequency band definition and decoding neural dynamics using hierarchical clustering and multivariate pattern analysis

    doi: 10.1016/j.xpro.2025.103870

    Figure Lengend Snippet: Visualization of conventional and hierarchically derived frequency band boundaries on the average TFR (A) The average TFR of normalized ECoG power in the PFC is shown in both panels (color indicates normalized power). Overlaid horizontal dashed lines illustrate different frequency band definitions: the left panel depicts conventional band boundaries, while the right panel shows example boundaries derived from hierarchical clustering. (B) The hierarchical clustering dendrogram (same as ) is shown alongside for reference to the bands used in panel (A), right.

    Article Snippet: Note: The dendrogram function in MATLAB automatically assigns colors to different branches based on the cluster hierarchy and the specified `ColorThreshold` parameter (default 0.5, adjustable by the user).

    Techniques: Derivative Assay