DBSCAN & Density-Based Clustering
Density-Reachability, Core Points & Automatic Outlier / Noise Isolation
#Clustering#Density#Anomaly Detection#Noise#Spatial
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STAGE 1 / 7— Anti-Pattern
Section 1: The LLM Anti-Pattern vs Right-Sized Model
The Naive Generative LLM Approach:
Asking an LLM to identify geometric GPS cluster hotspots and filter out random GPS noise pings from delivery drivers.
Why It Fails in Production:
LLMs cannot compute epsilon-neighborhood densities or spatial reachability trees; DBSCAN solves this in milliseconds without requiring k to be pre-specified.
Targeted Algorithm (DBSCAN & Density-Based Clustering)
Latency:15ms (BallTree)
Cost / 1M Ops:$0.00
Determinism:Exact Density Reachability
Generative LLM Alternative
Latency:4,000ms
Cost / 1M Ops:$18,000
Determinism:Random Spatial Hallucinations