Repository on Approximate Bayesian Computation and the different distance metrics which can be implemented.
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Updated
May 24, 2024 - MATLAB
Repository on Approximate Bayesian Computation and the different distance metrics which can be implemented.
Classification model to categorize clothing items into distinct classes
The Python 3 library for Multi-Criteria Decision Analysis.
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.
DTW(Dynamic Time Warping) & Subsequence-DTW Python Module
Python 3 library for Multi-Criteria Decision Analysis based on distance metrics, providing twenty different 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
Similarity and distance measures for clustering and record linkage applications in R
Classification of IRIS Dataset using various distance metrics.
PyTorch implementations of the beta divergence loss.
Lab Experiments under Lab component of CSE3018 - Content-based Image and Video Retrieval course at Vellore Institute of Technology, Chennai
🪓 Predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset
🌼 Classify the different species of the Iris flower.
Practice Material
KNN using brute force and ball trees implemented in Python/Cython
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