{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11295491","patent":{"patent_number":"US-11295491","title":"Generating a high-dimensional network graph for data visualization utilizing landmark data points and modularity-based manifold tearing","assignee":null,"inventors":[],"filing_date":"2020-04-16T00:00:00.000Z","publication_date":"2022-04-05T00:00:00.000Z","cpc_codes":["G06F","G06T","G06F","G06T"],"num_claims":20,"abstract":"The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate interactive visual shape representation of digital datasets. For example, the disclosed systems can generate an augmented nearest neighbor network graph from a sampled subset of digital data points using a nearest neighbor model and witness complex model. The disclosed system can further generate a landmark network graph based on the augmented nearest neighbor network graph utilizing a plurality of random walks. The disclosed systems can also generate a loop-augmented spanning network graph based on a partition of the landmark network graph by adding community edges between communities of landmark groups based on modularity and to complete community loops. Based on the loop-augmented spanning network graph, the disclosed systems can generate an interactive visual shape representation for display on a client device."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Generating a high-dimensional network graph for data visualization utilizing landmark data points and modularity-based manifold tearing","description":"The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate interactive visual shape representation of digital datasets. For example, the disclosed sys","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11295491","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11295491","citation_suggestion":"Patentable. \"Generating a high-dimensional network graph for data visualization utilizing landmark data points and modularity-based manifold tearing\" (US-11295491). https://patentable.app/patents/US-11295491","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11295491","json":"https://patentable.app/api/llm-context/US-11295491","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T23:03:23.139Z"}