euclidean-distance topic

Spark library for generalized K-Means clustering. Supports general Bregman divergences. Suitable for clustering probabilistic data, time series data, high dimensional data, and very large data.

derrickburns

Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.

seung-lab

A small-scale flask server facial recognition system, using a pre-trained facenet model with real-time web camera face recognition functionality, and a pre-trained Multi-Task Cascading Convolutional N...

tamerthamoqa

统计分析课程实验作业/包含《统计分析方法》中因子分析，主成分分析，Kmeans聚类等典型算法的手写实现

Happyxianyueveryday

Implementations of different algorithms for building Euclidean minimum spanning tree in k-dimensional space.

AndrewB330