Ordering points to identify the clustering structure (OPTICS) is an algorithm for finding density-based clusters in spatial data. It was presented by...

distance of each other. Alternatively, an OPTICS plot can be used to choose ε, but then the OPTICS algorithm itself can be used to cluster the data. Distance...

clustering, k-means, mixture models, model-based clustering, DBSCAN, and OPTICS algorithm Anomaly detection methods include: Local Outlier Factor, and Isolation...

implementation uses ball tree for efficient neighboring points lookup DBSCAN OPTICS algorithm Kernel density estimation (KDE) Kernel (statistics) Cheng, Yizong (August...

by iCentrix's MarioNet split web browser OPTICS algorithm, an unsupervised learning clustering algorithm Optics can refer to: In Public relations, a neologistic...

Phase retrieval Fourier optics Holography Adaptive-additive algorithm Gerchberg, R. W.; Saxton, W. O. (1972). "A practical algorithm for the determination...

that specifies the number of clusters to detect. Other algorithms such as DBSCAN and OPTICS algorithm do not require the specification of this parameter;...

hashing Nearest neighbor search Nearest-neighbor chain algorithm Numerical taxonomy OPTICS algorithm Statistical distance Persistent homology Nielsen, Frank...

In quantum computing, Grover's algorithm, also known as the quantum search algorithm, is a quantum algorithm for unstructured search that finds with high...

Shor's algorithm is a quantum algorithm for finding the prime factors of an integer. It was developed in 1994 by the American mathematician Peter Shor...