INNER CODE UNIT · Python

spectral

burkesquires/python_biologist · 06_data_vis_python/bokeh/server/app/clustering/main.py:107

spectral = np.hstack([Spectral6] * 20)
colors = [spectral[i] for i in y]

# set up plot (styling in theme.yaml)
plot = figure(toolbar_location=None, title=algorithm)
source = ColumnDataSource(data=dict(x=X[:, 0], y=X[:, 1], colors=colors))
plot.circle('x', 'y', fill_color='colors', line_color=None, source=source)

# set up widgets
clustering_algorithms= [
    'MiniBatchKMeans',
    'AffinityPropagation',
    'MeanShift',
    'SpectralClustering',
    'Ward',
    'AgglomerativeClustering',
    'DBSCAN',
    'Birch',

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