Simple k-means clustering (centroid-based) using Python
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Updated
Aug 20, 2023 - Python
Simple k-means clustering (centroid-based) using Python
Implementation of Basic Digital Image Processing Tasks in Python / OpenCV
Data reduction for .fits files using the Astropy module and affiliate modules.
object detections on polygonal roi using yolo
An Efficient and Randomized Clustering Algorithm that utilizes Randomized Algorithms on K-Medians
Um exemplo que mostra o cálculo do número e a distâncias aos centroides utilizando um dataset de flores iris.
Locating (for the lols) Sardinia centroid/barycenter
Estimate of India's centroid and center of mass.
This project uses K-means algorithm to partition a set of points into K clusters. The algorithm works iteratively to assign each data point to one of K groups based on the features provided.
reMap: relabeling metabolic pathway data with groups to improve prediction outcomes
Hierarchical Clustering using Scikit-Learn
A face tracker system using Python and OpenCV
Checking for false positives in TESS exoplanets searches by centroid calculation in Difference Images from out-of-transit and in-transit fluxes
This repo contains code for object tracking based on centroid value.
Implementation of KNN, Centroid, Linear Regression and SVM classifiers using Sklearn.
Optimal transport for comparing short brain connectivity between individuals | Optimal transport | Wasserstein distance | Barycenter | K-medoids | Isomap| Sulcus | Brain
Implementación de un Sistema de Inferencia Difusa para el problema de las colas de un determinado producto. Para su solución se utilizan varios métodos de agregación (Takagi Sugeno Kang y Tsukamoto), varios metodos de desdifusificación (Centroide, Bisección, entre otros) y varias funciones de pertenencia (Triangular, Trapezoidales y Gausiana).
Parser for KiCad centroid files, that generates a graph to check components are in the right orientation, for PCBA
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