Topic: euclidean-distance Goto Github
Some thing interesting about euclidean-distance
Some thing interesting about euclidean-distance
euclidean-distance,TextureBasedImageRetriever a Content Based Image Retriever that focuses on texture. It implements the offline phase which is the calulation of descriptors of all images in the datasetn, and the online phase that return the n-similar images from dataset given an input image.
User: ahmed-bh
euclidean-distance,Hand Segmentation and Finger Counting with Convex Hull
User: ak811
euclidean-distance,Implementations of different algorithms for building Euclidean minimum spanning tree in k-dimensional space.
User: andrewb330
euclidean-distance,the code uses KNN, Gaussian Naive Bayes & SVM to classify images. It preprocesses, normalizes data, applies PCA , computes accuracy, precision etc. It evaluates k-NN using Euclidean distance & cosine similarity, visualizing results with line plots, 3D scatter plots, & confusion matrices to demonstrate classifier performance.
User: areeba0
euclidean-distance,This Jupyter notebook demonstrates image segmentation using Lazy Snapping and K-Means Clustering. It showcases how these algorithms can partition an image into segments based on pixel intensity and user-defined masks.
User: areeba0
euclidean-distance,This repo is about simple implementation of K-Means clustering algorithm.
User: athlohangade
euclidean-distance,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.
User: bobbyrathoree
euclidean-distance,
User: bovojon
euclidean-distance,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.
User: britanniavirtual
euclidean-distance,Graphql API to recommend tourist sites based on user search criteria using the Euclidean distance algorithm.
User: bryandms
euclidean-distance,Simple statistical functions that are useful for exploratory spatial data analysis (ESDA) on-the-fly in JavaScript
User: coreydevinanderson
euclidean-distance,Euclidean Algorithm is an efficient algorithm for finding the greatest common divisor (GCD) of two numbers. It repeatedly computes the remainder of the larger number divided by the smaller number until the remainder is zero, at which point the smaller number is the GCD.
User: darian-catalin-cucer
euclidean-distance,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.
User: derrickburns
Home Page: https://generalized-kmeans-clustering.massivedatascience.com/
euclidean-distance,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
Organization: develop-packt
euclidean-distance,Allows for calculation of many types of distance between points
User: divineomega
euclidean-distance,This repository is a related to all about Natural Langauge Processing - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)
User: dr-mushtaq
Home Page: https://coursesteach.com
euclidean-distance,Sviluppo dell'algoritmo esteso di euclide. Permette all'utente di calcolare l'MCD tra due numeri interi e restituisce i coefficenti dell'identità di Bezout.
User: elia-mercatanti
euclidean-distance,Predict if teams will take an Offensive (OFF) or Defensive (DEF) player in the 1st round of the 2021 NFL Draft
User: eltrebolt
euclidean-distance,Python 3 library for Multi-Criteria Decision Analysis based on distance metrics, providing twenty different distance metrics.
User: energyinpython
euclidean-distance,Clustered customers into distinct groups based on similarity among demographical and geographical parameters. Applied PCA to dispose insignificant and multi correlated variances. Defined optimal number of clusters for K-Means algorithm. Used Euclidian distance as a measure between centroids.
User: evgenygrobov
euclidean-distance,Pembuatan Aplikasi Desktop Pengenalan Jenis Masker dengan Metode Color Histogram dan Euclidean Distance
User: fattahwg
euclidean-distance,K-Means and Bisecting K-Means clustering algorithms implemented in Python 3.
User: gbroques
euclidean-distance,The N-puzzle is a sliding puzzle that consists of a frame of numbered square tiles in random order with one tile missing. The puzzle can be of any size, with the most common sizes being 3x3 and 4x4. The objective of the puzzle is to rearrange the tiles to form a specific pattern.
User: gigi-g
euclidean-distance,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
User: happyxianyueveryday
euclidean-distance,A python package to compute pairwise Euclidean distances on datasets with categorical features in little time
User: itswajdy
euclidean-distance,An example of a minimum distance classificator doing a comparison between using Mahalanobis distance and Euclidean distance.
User: jeffresh
euclidean-distance,This repository contains a Python implementation of a K-Nearest Neighbors (KNN) classifier from scratch. It's applied to the "BankNote_Authentication" dataset, which consists of four features (variance, skew, curtosis, and entropy) and a class attribute indicating whether a banknote is real or forged.
User: khaledashrafh
euclidean-distance,A program for calculating various forms of structural equivalence of matrices.
User: mbiggiero
Home Page: https://www.luciobiggiero.com/
euclidean-distance,Calculating pairwise euclidean distance matrix for horizontally partitioned data in federated learning environment
User: mdshihabullah
euclidean-distance,Eight Puzzle solver using BFS, DFS & A* search algorithms
User: mohamadtarekk
euclidean-distance,Collection of Generic Data Structures and Algorithms in C.
User: moneebullah25
euclidean-distance,Code repository for Adult Social Care Overview
Organization: nhsdigital
euclidean-distance,A Java console application that implemetns k-fold-cross-validation system to check the accuracy of predicted ratings compared to the actual ratings and RMSE to calculate the ideal k for our dataset.
User: peteprattis
euclidean-distance,A Java console application that implemetns k-fold-cross-validation system to check the accuracy of predicted ratings compared to the actual ratings.
User: peteprattis
euclidean-distance,A Java console application that implements the factionality of the knn algorithm to find the similarity between a new user with only a few non zero ratings of some locations, find the k nearest neighbors through similarity score and then predict the ratings of the new user for the non rated locations.
User: peteprattis
euclidean-distance,A Java console application that implements the factionality of the knn algorithm to find the similarity between a new user's location preferences and the locations. The binary data (0,1) are the location characteristics.
User: peteprattis
euclidean-distance,Forecasting COVID-19 Cases
User: psanghal
euclidean-distance,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.
User: roburishabh
euclidean-distance,Euclidean Distance, Quantization, RGB, HSV
User: sametgolgeci
euclidean-distance,Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.
Organization: seung-lab
euclidean-distance,This work is for my thesis. This paper is published on I-IKM-2019
User: shuchita-rahman
euclidean-distance,Iris flower classification using k-Nearest Neighbors (k-NN) algorithm in Python. Simple, effective ML model for species prediction.
User: sminerport
Home Page: https://scottminer.netlify.app
euclidean-distance,A movie recommendation engine
User: ssvas1997
euclidean-distance,saving my matlab coding done for independent study project. probably not correct 100% i just wanna save it somewhere so that i can refer it back
User: syamimazlan
euclidean-distance,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 Neural Network (MTCNN) for face detection and cropping.
User: tamerthamoqa
euclidean-distance,This project consists of implementations of several kNN algorithms for road networks (aka finding nearest points of interest) and the experimental framework to compare them from a research paper published in PVLDB 2016. You can use it to add new methods and/or queries or reproduce our experimental results.
User: tenindra
Home Page: http://www.tenindra.com
euclidean-distance,Get distance between two coordinates using euclidean distance formula
User: tiaanduplessis
euclidean-distance,agglomerative hierarchical clustering for Node.js
User: vorticoncmdr
euclidean-distance,Various algorithms developed utilizing some of Irvine's Library(32-bit). Please refer to asmirvine.com for more info on installing Irvine's libraries to run the following programs.
User: xiao-lii
euclidean-distance,Undergraduate thesis for Bachelor in Computer Engineering
User: zatura
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