Package: MapperAlgo 1.0.1
MapperAlgo: Topological Data Analysis: Mapper Algorithm
The Mapper algorithm from Topological Data Analysis, the steps are as follows 1. Define a filter (lens) function on the data. 2. Perform clustering within each level set. 3. Generate a complex from the clustering results.
Authors:
MapperAlgo_1.0.1.tar.gz
MapperAlgo_1.0.1.tar.gz(r-4.5-noble)MapperAlgo_1.0.1.tar.gz(r-4.4-noble)
MapperAlgo_1.0.1.tgz(r-4.4-emscripten)MapperAlgo_1.0.1.tgz(r-4.3-emscripten)
MapperAlgo.pdf |MapperAlgo.html✨
MapperAlgo/json (API)
# Install 'MapperAlgo' in R: |
install.packages('MapperAlgo', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kennywang112/mapperalgo/issues
Last updated 18 days agofrom:9ff4687bec. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 09 2024 |
R-4.5-linux | OK | Dec 09 2024 |
Exports:cluster_cutoff_at_first_empty_bincover_pointsfind_best_k_for_kmeansMapperAlgomapperEdgesmapperVerticesperform_clusteringsimplcial_complexto_lsfito_lsmi
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Cut the hierarchical clustering tree to define clusters | cluster_cutoff_at_first_empty_bin |
Cover points based on intervals and overlap | cover_points |
Find the optimal number of clusters for k-means | find_best_k_for_kmeans |
Mapper Algorithm | MapperAlgo |
Create Mapper Edges | mapperEdges |
Create Mapper Vertices | mapperVertices |
Perform clustering within a level set | perform_clustering |
Construct adjacency matrix of the simplicial complex | simplcial_complex |
Convert level set multi-index (lsmi) to flat index (lsfi) | to_lsfi |
Convert level set flat index (lsfi) to multi-index (lsmi) | to_lsmi |