euclidean-distance
There are 61 repositories under euclidean-distance topic.
coreydevinanderson/ESDA.js
Simple statistical functions that are useful for exploratory spatial data analysis (ESDA) on-the-fly in JavaScript
elia-mercatanti/extended-euclidean-algorithm
Sviluppo dell'algoritmo esteso di euclide. Permette all'utente di calcolare l'MCD tra due numeri interi e restituisce i coefficenti dell'identitĂ di Bezout.
RobuRishabh/Real_time_2D_Object_Recognition
This project is about real-time 2D object recognition. The goal is to have the computer identify a specified set of objects placed on a white surface in a translation, scale, and rotation invariant manner from a camera looking straight down. The computer should be able to recognize single objects placed in the image and identify the objects.
sametgolgeci/ImageMatching
Euclidean Distance, Quantization, RGB, HSV
sminerport/iris-knn-classifier
Iris flower classification using k-Nearest Neighbors (k-NN) algorithm in Python. Simple, effective ML model for species prediction.
Anagha-Sankar/Distance-Based-Classification
Classification of IRIS Dataset using various distance metrics.
britanniavirtual/Vector_3D_Utilities
C++ 3D Vector class and utilities for common vector operations such as euclidean distance, multiplication of vectors, dot, cross, vector-plane intersect, triangle distance, to/from cartesan & spherical coordinates and more.
ELtrebolt/2021-NFL-Draft
Predict if teams will take an Offensive (OFF) or Defensive (DEF) player in the 1st round of the 2021 NFL Draft
Mark-McAdam/Build-K-Nearest-Neighbors
Implementation of K-Nearest Neighbors algorithm rebuilt from scratch using Python. Comparison to the Sci-Kit Learn implementation included.
psanghal/time_series_forecasting
Forecasting COVID-19 Cases
ssvas1997/Movie-Recommendation-Engine
A movie recommendation engine
xdurfina/celebrity-lookalike
Encoding celebrity dataset with LBP and SIFT and finding matches of given dataset. Option for finding your celebrity lookalike.
antononcube/Raku-Math-DistanceFunctions
Raku package for the computation of various distance functions.
bobbyrathoree/K-Nearest-Neighbors-without-scikit-learn
A K Nearest Neighbors classifier developed from scratch for self-learning purposes. Accuracy is off the charts, since we have full control on the algorithm.
Develop-Packt/Introduction-to-Clustering
This course teaches you how to calculate distance metrics, form and identify clusters in a dataset, implement k-means clustering from scratch and analyze clustering performance by calculating the silhouette score
hansalemaos/a_pandas_ex_group_coordinates_by_distance
Group coordinates by euclidean distance
Jeffresh/minimum-distance-classificator
An example of a minimum distance classificator doing a comparison between using Mahalanobis distance and Euclidean distance.
Ninad077/Machine_Learning-KNN_algorithm
Content: Machine Learning, KNN concept, Euclidean distance, Data preprocessing, Scaling the data, Performing train-test split, Applying KNeighbors Classifier, Predicting Y_pred based on X_test, Evaluation using Confusion Matrix, Accuracy score, Recall value & Precision, Underfitting & Overfitting, Measures to overcome Underfitting & Overfitting
SlothyKernel1314/distances
This Lua module calculates the "infinite distance" between two sprites and detects the collision between them. Integration of the following specific distance cases: Manhattan distance (K distance with k = 1), Euclidean distance (K distance with k = 2), K distance (with k > 2). Integration of scale factors a and b for sprites.
tiaanduplessis/get-euclidean-distance
Get distance between two coordinates using euclidean distance formula
vipul43/a_star_search_algorithm
graph search using A star search algorithm in python3
VorticonCmdr/hclust
agglomerative hierarchical clustering for Node.js
ZenithClown/agine
Library for finding Nearest Neighbor or to find if two points on Earth have a Direct Line of Sight.