OPTICS ("Ordering Points To Identify the Clustering Structure") is an algorithm for finding density-based clusters in spatial data. It was presented by Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel and Jö rg Sander[1]. Its basic idea is

DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a data clustering algorithm proposed by Martin Ester, Hans-Peter Kriegel, Jö rg Sander and Xiaowei Xu in 1996.[1] It is a density-based clustering algorithm because it fi

2.092/2.093 — Finite Element Analysis of Solids & Fluids I Fall ‘09 Lecture 19 - Modeling for Dynamic Analysis & Solution, cont’d Prof. K. J. Bathe MIT OpenCourseWare-2.092/2.093 — Finite Element Analysis of Solids & Fluids I Fall ‘09 Lecture

Volume issue 2013 [doi 10.1145_2513228.2513294] K. Han J. H. Lim E. G. Im -- Malware analysis method using visualization of binary files.pdf- Volume issue 2013 [doi 10.1145_2513228.2513294] K. Han J. H. Lim E. G. Im -- Malware analysis method usin