OPTICS - Learn Data Science with Travis

Travis chat

The Angles From Which We See

Towards Data Science

Imagine you are an artist and want to draw a house on a piece of paper. The essence of this task is to convert an object from a 3D world to a 2D plane. What we want is the best angle to draw the…

Clustering Using OPTICS

Towards Data Science

Clustering is a powerful unsupervised knowledge discovery tool used today, which aims to segment your data points into groups of similar features. However, each algorithm is pretty sensitive to the…

Understanding OPTICS and Implementation with Python

Towards Data Science

OPTICS stands for Ordering points to identify the clustering structure. It is a density-based unsupervised learning algorithm, which was developed by the same research group that developed DBSCAN. As…...

Technology beyond the mirror

Becoming Human: Artificial Intelligence Magazine

We are surrounded by technology. Its importance in recent years has multiplied and It has become an important part of our lives. How has been our relationship with technology over the years?, Is…

Computer Vision

Towards Data Science

It has been well established and documented that the computational capabilities of computers far exceed that of human beings. Hence, since the middle of the 20th century, computation heavy activities…...

Optical Flow

OpenCV Tutorial

In this chapter, Optical Flow Optical flow is the pattern of apparent motion of image objects between two consecutive frames caused by the movement of object or camera. It is 2D vector field where eac...

6. Photometry

Astronomical Data in Python

This is the sixth in a series of notebooks related to astronomy data. As a continuing example, we will replicate part of the analysis in a recent paper, “ Off the beaten path: Gaia reveals GD-1 stars...

8 Hows of Augmented Reality

Towards Data Science

This article will examine the “Hows?” that empower the “Whys?” listed in my last post — 10 Whys of Augmented Reality. Highly recommend refreshing your memory with visual scenarios from the previous…

Demo of OPTICS clustering algorithm

Scikit-learn Examples

Demo of OPTICS clustering algorithm Finds core samples of high density and expands clusters from them. This example uses data that is generated so that the clusters have different densities. The OPTIC...

The Depth I: Stereo Calibration and Rectification

Python in Plain English

Hello everyone! Today we will talk about what is stereo camera and how we are using it for computer vision. By using the code I wrote for you, I will explain how we are calibrating the camera for…

Computer Vision: The Present and Future

Analytics Vidhya

Let’s start by thinking about how vision can be. Most people rely on it to prepare food, walk around obstacles, read street signs, watch videos, and do hundreds of tasks. Vision is the highest…

How Computers See: Image Recognition and Medieval Pole Arms

Towards Data Science

Death, they say, is the great equaliser. It comes for all of us eventually, and none of us escape its icy grasp. This was as true throughout history as it is today, but on a medieval battlefield I…