sublinear-time-solver
CommunityProcess massive data with sublinear complexity.
Data & Analytics#algorithms#streaming#big data#dimensionality reduction#graph analysis#pagerank#sublinear time
Authorricable
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill tackles the challenge of processing extremely large datasets that would typically overwhelm standard algorithms, enabling efficient analysis with sub-linear time complexity.
Core Features & Use Cases
- Large-Scale Graph Analysis: Compute approximate PageRank on massive graphs.
- Dimensionality Reduction: Perform matrix sketching for efficient data representation.
- Approximate Nearest Neighbors: Find similar data points in high-dimensional spaces quickly.
- Streaming Algorithms: Compute statistics and cardinalities on data streams in real-time.
- Use Case: Analyze a web-scale graph to identify influential nodes or estimate the number of unique visitors to a website from a high-volume data stream.
Quick Start
Use the sublinear-time-solver to compute approximate PageRank for a given graph.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: sublinear-time-solver Download link: https://github.com/ricable/cli-skills-builder/archive/main.zip#sublinear-time-solver Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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