Resources and Related work
Resources and related work
Additional information and sources for things discussed can be found at the following location (as of time of writing)
- Dominant colors in an image using k-means clustering on buZZrobot
- K-Means Clustering in OpenCV in the OpenCV Docs
- Histograms - 1 : Find, Plot, Analyze !!! in the OpenCV Docs
- sklearn.cluster.KMeans in the scikit learn docs
- cluster.KMeans in the SnapML docs
- mplot3d example code in the matplotlib docs
- Customizing Figure Layouts Using GridSpec and Other Functions in the matplotlib docs
- Two 3-dimensional side by side plots with gridspec - matplotlib on stackoverflow
- K-means clustering on Wikipedia
- cuDF API Reference - DataFrame
- cuML API Reference - K-Means Clustering
- CUDA Device management in the Numba docs
- CuPy Multi-Dimensional Array (ndarray) in the CuPy docs
- Get a unique ID for worker in python multiprocessing pool on stackoverflow
- –
- neighbors.NearestNeighbors in the SnapML docs
- sklearn.neighbors.NearestNeighbors in the scikit learn docs
Remotely Related
- Install OpenCV-Python in Ubuntu
- Installing the MLDL frameworks
- Building FFmpeg
- FFmpeg wiki: HWAccelIntro
Link to projects and libraries used.
- OpenSeadragon
- matplotlib
- Numba
- CuPy
- NumPy
- RAPIDS Open GPU Data Science (cuDF/cuML)
- Snap machine learning / IBM Watson® Machine Learning Community Edition
- OpenCV
- sqlite3 python lib