YZ Sözlüğü
Yapay Zekanın tam sözlüğü
Cluster Ordering
Main result of the OPTICS algorithm, a linear list of points that encodes the density structure of the data at multiple levels of granularity.
Xi-Steepness
Parameter used to extract clusters from an OPTICS reachability plot, defining the minimum slope required to identify a significant 'valley' representing a cluster.
Noise Points
Data points that do not belong to any cluster because they are located in low-density areas, identified by high reachability distances in OPTICS.
Core Points
Points located inside a dense cluster, having at least MinPts neighbors within their ε-radius, serving as starting points for cluster expansion.
Border Points
Points that are not core points but are density-reachable from a core point, located on the periphery of a cluster.
Directly Density-Reachable
A relation where a point q is directly density-reachable from a point p if p is a core point and q is in its ε-neighborhood.
Multi-Scale Clustering
The ability of an algorithm like OPTICS to identify clustering structures at different density scales without requiring multiple runs with different ε parameters.