There are 1 repository under distance-metric topic.
DTW (Dynamic Time Warping) python module
SimMetrics is a Similarity Metric Library, e.g. from edit distance's (Levenshtein, Gotoh, Jaro etc) to other metrics, (e.g Soundex, Chapman). This library support multiple .NET versions including .NET Core (NETStandard 1.x)
How to initialize Anchors in Faster RCNN for custom dataset?
Various utilities regarding Levenshtein transducers. (Java)
A GP-GPU/CPU Dynamic Time Warping (DTW) implementation for the analysis of Multivariate Time Series (MTS).
spanlp: nlp applied for spanish vulgarity. A fast, robust Python library to check for profanity or offensive language in Spanish strings. It contains all the rude words of Spanish-speaking countries.
A Python module for estimating divergence between two sets of samples.
KNN using brute force and ball trees implemented in Python/Cython
PyTorch implementations of the beta divergence loss.
An R package containing dissimilarity measures and aggregation functions for time series, plus cluster validity indices. Part of the code for the paper "Understanding the Effects of Temporal Energy-Data Aggregation on Clustering Quality".
Presented at the 2022 IEEE Region 10 Conference (TENCON 2022). Our main contribution is twofold: (1) the construction of a meta-learning model for recommending a distance metric for k-means clustering and (2) a fine-grained analysis of the importance and effects of the meta-features on the model's output
simulation of Bucket brigade in production lines.
R library for the application of Distance Between Intervals (DBI) from Lo Valvo et al. (In press).
Kaggle Projects, Programs and proofs
Regional Wine Prediction using KNN and Similarity Indices
Hybrid K-Nearest Neighbours classifier | Research project
Comparison of scratch-implemented and sklearn nearest neighbors methods for classification of vertebral patient data. Using multiple distance metrics, models were k-value optimized to reduce error rates.
Java example of Strategy design pattern applied to geometric distances.