Ordering points to identify the clustering structure (OPTICS) is an algorithm for finding density-based clusters in spatial data. It was presented by Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel and Jörg Sander.Its basic idea is similar to DBSCAN, but it addresses one of DBSCAN's major weaknesses: the problem of detecting meaningful clusters in data of varying density. To do so, the points of the database are (linearly) ordered such that spatially closest points become neighbors in the ordering. Additionally, a special distance is stored for each point that represents the density that must be accepted for a cluster so that both points belong to the same cluster. This is represented as a dendrogram. (Wikipedia).
This video is used for Hologram technology, just make the hologram device at home with a very simple way, I'll put a video of how to make the Hologram device. Enjoy!
From playlist OPTICS
Light and Optics 2_1 Introduction to Refraction
Explanation of refraction.
From playlist Physics - Light and Optics
AWESOME "Human levitation" (science illusion)!!!
This experiment with a mirror shows you a very common illusion that magicians and illusionists often mislead us with. This is physics experiment for science project.
From playlist OPTICS
20 AWESOME EXPERIMENTS Optics, mirrors and lens!
Geometric Optics Intuition with Mirrors and Lenses Concave and Convex mirrors, Diverging and Converging lens, shadows, reflection, refraction and colors.
From playlist OPTICS
Light and Optics 2_2 Introduction to Refraction
Introduction to refraction. Solved Problems.
From playlist Physics - Light and Optics
Light and Optics 2_3 Introduction to Refraction
Introduction to refraction. Solved problems.
From playlist Physics - Light and Optics
Well, we got it working after some fuss -- Watch live at https://www.twitch.tv/simuleios
From playlist Geometrical Optics
10 Physics Tricks with laser That You Must See (science experiments)
Physics (la physique) demonstration experiments (science experiments)
From playlist OPTICS
Motion Estimation | Student Competition: Computer Vision Training
In this video, you will learn how to estimate motion between video frames using Optical Flow. Get files: https://bit.ly/2ZBy0q2 Explore the MATLAB and Simulink Robotics Arena: https://bit.ly/2yIgwfS -------------------------------------------------------------------------------------------
From playlist Student Competition: Computer Vision Training
Ulugbek Kamilov: Signal processing for nonlinear diffractive imaging
Abstract: Can modern signal processing be used to overcome the diffraction limit? The classical diffraction limit states that the resolution of a linear imaging system is fundamentally limited by one half of the wavelength of light. This implies that conventional light microscopes cannot d
From playlist Probability and Statistics
Augmenting Reality #1 - Optical Flow (C++)
Augmented Reality can be considered to be fundamentally an image processing problem. This video shows a coarse and brute-force implementation of a optical flow algorithm, using nothing but a webcam and the command prompt. It's deliberately not optimised to keep the algorithm clear to follo
From playlist Interesting Programming
The Map of Quantum Computing | Quantum Computers Explained
An excellent summary of the field of quantum computing. Find out more about Qiskit at https://qiskit.org and their YouTube channel https://www.youtube.com/c/qiskit And get the poster here: https://store.dftba.com/collections/domain-of-science/products/map-of-quantum-computing With this vi
From playlist Quantum Physics Videos - Domain of Science
Lecture 9: Computational imaging: a survey of medical and scientific applications
MIT MAS.531 Computational Camera and Photography, Fall 2009 Instructor: Douglas Lanman (guest lecturer from Brown University) View the complete course: https://ocw.mit.edu/courses/mas-531-computational-camera-and-photography-fall-2009/ YouTube Playlist: https://www.youtube.com/playlist?li
From playlist MIT MAS.531 Computational Camera and Photography, Fall 2009
Quantum computational supremacy in the sampling (...) - I. Deutsch - PRACQSYS 2018 - CEB T2 2018
Ivan Deutsch (Center for Quantum Information and Control, University of New Mexico, Albuquerque, USA) / 05.07.2018 Quantum computational supremacy in the sampling of bosonic random walkers on a one-dimensional lattice What level of quantum complexity cannot be efficiently simulated on a
From playlist 2018 - T2 - Measurement and Control of Quantum Systems: Theory and Experiments
Nathan Whitehorn - Neutrino in a haystack: computational challenges for IceCube Neutrino Observatory
Recorded 01 December 2021. Nathan Whitehorn of Michigan State University presents "Finding a neutrino in a haystack: computational challenges for the IceCube Neutrino Observatory" at IPAM's Workshop IV: Big Data in Multi-Messenger Astrophysics. Abstract: Neutrinos provide a unique view of
From playlist Workshop: Big Data in Multi-Messenger Astrophysics
How To Install OpenCV On Windows? | Setup OpenCV For Python | Edureka
** Python Certification Training: https://www.edureka.co/data-science-python-certification-course ** This Edureka video on 'How To Install OpenCV On WIndows' will help you understand how you can install OpenCV on windows along with a few applications of OpenCv module in python. Following a
From playlist Python Programming Tutorials | Edureka
Building large controlled quantum systems with (...) - S. Schwartz - PRACQSYS 2018 - CEB T2 2018
Sylvain Schwartz (Laboratoire Kastler Brossel de l’Ecole Normale Supérieure, Paris, France) / 02.07.2018 Building large controlled quantum systems with individual atoms Building large controlled quantum systems is a very exciting challenge of modern physics, and a necessary milestone to
From playlist 2018 - T2 - Measurement and Control of Quantum Systems: Theory and Experiments
Light and Optics 6_3 Optical Instruments
Solving problems involving optical instruments.
From playlist Physics - Light and Optics
10A. Networks 2: Molecular Computing, Self-assembly, Genetic Algorithms, Neural Networks
MIT HST.508 Genomics and Computational Biology, Fall 2002 Instructor: George Church View the complete course: https://ocw.mit.edu/courses/hst-508-genomics-and-computational-biology-fall-2002/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61gaHWysmlYNeGsuUI8y5GV Today
From playlist HST.508 Genomics and Computational Biology, Fall 2002