distance-metric-learning

YiShape-Math is a high-performance Java math library that provides NumPy-like functionalities including vector & matrix operations, data visualization, statistics, optimization, time series, signal processing, multi-criteria programming, distance metric learning, and machine learning models.

Distance Metric Learning Algorithms for Python

Local Fisher Discriminant Analysis in R

R package for Distance Metric Learning

Code for FOCAL Paper Published at ICLR 2021

Few-Shot Graph Classification via distance metric learning.

Compilation of distance measures in Python

Developing a Model-based (Alternating Least Squares) Movie Recommendation System using Apache Spark and deploying on AWS EMR Cluster

Pattern recognition techniques done as a coursework for EE4-68

These distance (Euclidean|Manhattan) metric programs have been developed using both Python & Java-Script as a subtask of an ongoing project which is the development of the unsupervised learning | K - Means Clustering Algorithm..

Technical working paper on optimizing the weighted nearest neighbors (wNN) regression algorithm by learning feature-specific distance metric weights via batch gradient descent, achieving up to 80.65% MSE reduction over conventional wNN on UCI benchmarks.

Master thesis about Distance Metric Learning (DML)

Implementation of DEEM algorithm for image clustering and semi-supervised learning using deep learning