manhattan-distance
There are 96 repositories under manhattan-distance topic.
LuJunru/Sentences_Pair_Similarity_Calculation_Siamese_LSTM
A Keras Implementation of Attention_based Siamese Manhattan LSTM
memgonzales/sliding-puzzle
8-puzzle game that features a walkthrough of the optimal solution and allows users to customize the tiles using photos from their Gallery
MohamadTarekk/EightPuzzle
Eight Puzzle solver using BFS, DFS & A* search algorithms
entangledloops/slidingpuzzle
Sliding Puzzle solver and utilities
Subangkar/N-Puzzle-Problem-CPP-Implementation-using-A-Star-Search
A C++ implementation of N Puzzle problem using A Star Search with heuristics of Manhattan Distance, Hamming Distance & Linear Conflicts
yasinakinn/hierarchical-clustering
Linkage Methods for Hierarchical Clustering
allenfallen/sliding-puzzle
A sliding puzzle game and solver using ncurses.
arajajyothibabu/FuzzyLogicRecommenderSystem
Complete Java Approach
siddg97/Npuzzle
C++ implementation of IDA* algorithm for solving the 15 and 25 puzzle
krishnadey30/Artificial_Intelligence_Codes
C codes for the Arificial Intelligence Course and algorithms.
pavlosdais/n-puzzle
Classic n-puzzle problem solver using A* search
energyinpython/distance-metrics-for-mcda
Python 3 library for Multi-Criteria Decision Analysis based on distance metrics, providing twenty different distance metrics.
joaomota59/jogoDosOito
🕹 Algoritmo que resolve o jogo dos oito por busca em profundidade(sem estados visitados), busca em largura(com estados visitados), busca gulosa(com estados visitados) e busca a*(com estados visitados). Podendo mostrar passo a passo das escolhas dos nós e mostrando a árvore resultante(até um certo limite ou completa) do método de busca selecionado.
PetePrattis/k-nearest-neighbors-algorithm-and-rating-prediction
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.
MishraShivendra/golang_math
Machine learning functions written in goLang:
dolovnyak/n-puzzle
Solves puzzles of various sizes
Gigi-G/npuzzle
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.
matakshay/NN-Classifier-using-VPTree
An efficient Nearest Neighbor Classifier for the MINST dataset. It uses a VP Tree data structure for preprocessing, thus improving query time complexity
mauriciomani/brewing_hackathon
Our experience in AB Inbev Brewing data cup 2020 for Mexico
Myriam2002/KNN_Movie_Recommendation
KNN movie recommendation system using python 🎥✨
rameezusmani/phprecommender
PHP based recommender system that can be used to predict values, find similar items or getting recommendations for user
WarrenWeckesser/voronoiz
Functions for generating Voronoi diagrams with alternate metrics.
erogluegemen/Movie-Recommendation-System
A movie recommendation system, or a movie recommender system, is an ML-based approach to filtering or predicting the users' film preferences based on their past choices and behavior.
gbroques/k-means
K-Means and Bisecting K-Means clustering algorithms implemented in Python 3.
PetePrattis/k-nearest-neighbors-for-similarity-by-binary-data
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.
raheemazeezabiodun/a-star-heuristic-function
[WIP] This is an implementation of the A star search which uses Heuristic function to find the shortest path in C++.
zohaib2002/8-Puzzle-Problem
Solution of 8 Puzzle Problem in Python using Informed Search
alexaapo/Autoencoder-Dimensionality-Reduction
Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset
IgnacioGameolay/8-Puzzle-Solver
A C-based 8 puzzle solver using graphs and Abstract Data Types and 3 search-algorithms: DFS, BFS, Best-First with Manhattan Distance
mar-kan/algorithm_project
3 part project: A. bottleneck autoencoder, B. manhattan distance, C. earth mover's distance
moneebullah25/generic-c-dsa-algorithms
Collection of Generic Data Structures and Algorithms in C.
rohanpillai20/8-Puzzle-by-A-Star-Search
This python file solves 8 Puzzle using A* Search with Manhattan Distance
shamo0/slidingPuzzle
4x4 15 piece sliding puzzle solution using A* and IDA* algorithms (Python implementation)
Sush-coder/Machine-Learning-Algorithms
In this repository, I have implemented Machine Learning algorithms, not just by using predefined libraries, but also from scratch by uncovering the underlying math and applied them on datasets.
Tooo/Stage-Puzzle-Manhattan
Solving Stage Puzzles: Text UI
YoussefAboelwafa/8-Puzzle_Solver
8 Puzzle Solver Using Classical Search Algorithms: DFS | BFS | A*