distance-metrics

There are 0 repository under distance-metrics topic.

ngmarchant / comparator
Similarity and distance measures for clustering and record linkage applications in R
r-package distance-measures similarity-measures string-similarity record-linkage distance-metrics entity-resolution clustering
Language:R 16
Johnny-Knighten / k-nearest-neighbors
KNN using brute force and ball trees implemented in Python/Cython
nearest-neighbors nearest-neighbor-search knn knn-classifier ball-tree balltree distance-metric distance-metrics cython python3 brute-force bruteforce machine-learning
Language:Python 11
energyinpython / pyrepo-mcda
The Python 3 library for Multi-Criteria Decision Analysis.
distance-metrics mcda python sensitivity-analysis compromise-ranking
Language:Python 10
wecarsoniv / beta-divergence-metrics
PyTorch implementations of the beta divergence loss.
pytorch beta-divergence loss-functions loss kullback-leibler-divergence kl-divergence mean-square-error mean-squared-error nmf nmf-decomposition non-negative-matrix-factorization itakura-saito-divergence objective-functions distance-measures distance-metric distance-metrics divergence divergences torch numpy
Language:Python 9
RAvengineer / CSE3018-CBIR-Lab
Lab Experiments under Lab component of CSE3018 - Content-based Image and Video Retrieval course at Vellore Institute of Technology, Chennai
matlab cbir color-mapping color-histogram auto-correlogram color-cohorence-vector ccv gray-level-coocurence-matrix glcm tamura shape-analysis local-binary-patterns lbp-features distance-metrics histogram-of-oriented-gradients hog-features sift-features surf-features vit-university
Language:MATLAB 8
energyinpython / distance-metrics-for-mcda
Python 3 library for Multi-Criteria Decision Analysis based on distance metrics, providing twenty different distance metrics.
distance-metrics euclidean-distance manhattan-distance mcda topsis reference-objects
Language:Python 5
Wittline / distance-metrics
Distance metrics are one of the most important parts of some machine learning algorithms, supervised and unsupervised learning, it will help us to calculate and measure similarities between numerical values expressed as data points
distance-metrics machine-learning python similarity-measures
Language:Jupyter Notebook 4
GeoRouv / pima-indians-classification
🪓 Predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset
classification distance-metrics machine-learning pima-indians-classification
Language:Python 2
UomoCaffeLatte / PyBasicDTW
DTW(Dynamic Time Warping) & Subsequence-DTW Python Module
distance distance-measures dtw python sdtw distance-metrics
Language:Python 2
aditijoshi613 / Image-Classification
Classification model to categorize clothing items into distinct classes
distance-metrics knn-classification pca train-test-split
Language:Jupyter Notebook 1
GeoRouv / iris-flower-classification
🌼 Classify the different species of the Iris flower.
classification distance-metrics iris-flower-classification machine-learning
Language:Python 1
Adolphus8 / Approximate_Bayesian_Computation
Repository on Approximate Bayesian Computation and the different distance metrics which can be implemented.
approximate-bayesian-computation distance-metrics model-validation bayesian-model-updating stochastic-model-updating
Language:MATLAB 0
Anagha-Sankar / Distance-Based-Classification
Classification of IRIS Dataset using various distance metrics.
iris-dataset iris-classification distance-metrics euclidean-distance city-block-distance manhattan-distance chess-board-distance mahalanobis-distance mahalanobis correlation-distance cosine-similarity cosine-distance bray-curtis-distance canberra-distance minkowski minkowski-distance mer misclassification-error-rate
Language:Jupyter Notebook 0
akash18tripathi / KNN-Tweets-and-Metadata
This Jupyter Notebook demonstrates the implementation of a K-Nearest Neighbors (KNN) algorithm using the concept of nearest neighbors without using direct classifiers. It also includes exploratory data analysis (EDA) and comparison of three classifiers.
distance-metrics exploratory-data-analysis k-nearest-neighbours principal-component-analysis tfidf-vectorizer tweet-classification
Language:Jupyter Notebook
HarshaVardhanBabu / TutorialMaterial
Practice Material
datascience python36 distance-metrics cook-distance
Language:Jupyter Notebook