Linkage Methods for Hierarchical Clustering
This work is for my thesis. This paper is published on I-IKM-2019
Collection of Generic Data Structures and Algorithms in C.
Classification of IRIS Dataset using various distance metrics.
Implementing the kNN algorithm using python and comparing the Euclidean, Manhattan and Minkowski distances
A simple python project about Minkowski distance.
Minkowski distance visualization
Repositório de projetos pessoais para testar o meu aprendizado e treinar novas técnicas.
Customer Segmentation using mahalonobis and minkowsi distance
This project uses the K-Nearest Neighbors algorithm to classify individuals into gender categories based on their physical attributes. It assesses the model's performance across different configurations and feature sets.
Statistics is a command line tool for computing distance and data normalization
Classification using KNN on Vertebral Column Data Set
Clustering high-dimensional data with Minkowski distance
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