The article discusses a project to analyze patterns in the use of colors in paintings by using a 3D K-Means clustering algorithm to extract the dominant colors in images and their associated metadata, and then using this data to perform time series and spatial regression.
The three of us in Team Splatoon have partnered with Budget Collector to analyze relationships between dominant and secondary colors in artwork with region of origin, art period, or time. We will accomplish this by deploying various color quantization techniques that extract key color information from each piece
The Budget Collector MSA Practicum is an opportunity for the art community to work with data scientists to develop innovative solutions to real-world problems. Whether you're an experienced professional or just starting, we're looking for individuals passionate about using their creativity to make a positive
In the background of app testing and data analysis, Budget Collector was preparing to onboard 20 master students from The Georgia Institute of Technology (AKA Georgia Tech). Georgia Tech’s Master of Science in Analytics program is an interdisciplinary data science degree which requires students to