Functions for the mapper model.
mapper.kmeans()
Mapper function with multiple cluster methods (deprecated)
mapper.sta()
Mapper function with multiple cluster methods
mapper_shannon_index()
Shannon index for Mapper
Functions for generating the network graph based on the results from the mapper model.
simple_visNet()
Simple graphs generation
stat_summery()
Create statistics summary of nodes
network_visualization()
Generate graphs from results of Mapper
auto_set_colorcode()
Create color codes for groups.
check_color_code()
Check the validation of a color code dataframe
color_map()
Assign color codes to samples
color_map_Spectral()
Spectral color map function
read_color_code()
Read color codes from a given file
legend_node()
Add legends to the generated graph
Built-in Filter functions that can be used to generate the network graph.
filter_coordinate()
Coordinate projection filter
filter_dtm()
Distance to measure filter
filter_eccen()
Eccentricity filter
filter_evaluate()
Evaluate filter functions
filter_gaussian()
Gaussian density filter
filter_Linf()
L-infinity filter
filter_name()
Which filter function produces the filter?
filter_pca()
PCA filter
filter_ref()
Reference distance filter
Functions for evaluating the results.
spread_measure()
Spread measure function
pareto_opt()
Find the pareto frontier
ref_dist_nodewise()
Nodewise topological distance to a node
ref_dist_samplewise()
Average samplewise topological distance to a group of nodes
Functions for simulation studies.
chicken_generator()
Chicken foot simulation data generator
Utility functions.
print(<filter>)
Print filter function name
print(<Pareto_frontier>)
Print Pareto frontier
save_network_h5()
Save results into a h5 file
load_network_h5()
Load a h5 file