stoclust

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Clustering algorithms using stochastic analysis and ensemble techniques.

visualization

  ↳ stoclust

Contains functions for visualizing data and clusters.

Functions

  • bars

    bars(mat, show_x=None, show_y=None, xlabels=None, ylabels=None, layout=None, **kwargs)
    Generates a stacked bar plot of a given array of vectors.
  • dendrogram

    dendrogram(hier, line=None, layout=None, show_progress=False, **kwargs)
    Generates a stacked bar plot of a given array of vectors.
  • heatmap

    heatmap(mat, show_x=None, show_y=None, xlabels=None, ylabels=None, layout=None, **kwargs)
    Generates a heatmap of a given matrix: that is, displays the matrix as a table of colored blocks such that the colors correspond to matrix values.
  • scatter2D

    scatter2D(x, y, agg=None, layout=None, show_items=None, **kwargs)
    Generates a 2-dimensional scatter plot of given coordinate vectors; optionally plots them on separate traces based on an aggregation.
  • scatter3D

    scatter3D(x, y, z, agg=None, layout=None, show_items=None, **kwargs)
    Generates a 3-dimensional scatter plot of given coordinate vectors; optionally plots them on separate traces based on an aggregation.