Geographic centroids with population weighing
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Updated
Apr 30, 2020 - Jupyter Notebook
Geographic centroids with population weighing
This repository implements centroid-based pattern recognition, extracting features from images using grid cell centroids for classification in computer vision and image processing.
Clustering on Cereals Data
Program to calculate geometric properties of 2D surface. Implementation of modern openGL graphics to display the surface.
Coloring an image with 'K' Colors using K-Means Coloring
Agglomerative Hierarchical Clustering with Centroid method and Euclidean Distance
Um exemplo que mostra o cálculo do número e a distâncias aos centroides utilizando um dataset de flores iris.
Checking for false positives in TESS exoplanets searches by centroid calculation in Difference Images from out-of-transit and in-transit fluxes
Utilization of some basic algorithms for the recogniton of one of the Iris plants among the three existing (Setosa, Versicolor, Virginica) using Java Object Oriented.
Hierarchical Clustering using Scikit-Learn
A Java program for clustering data with the k-means algorithm.
Classificadores vizinho mais próximo, k-vizinhos mais próximos e centroíde programados em Haskell para primeiro e segundo o trabalho computacional de Programação Funcional.
OCR program to differentiate between numbers [0-9] using a machine learning technique "Location of centroid"
Implementation of KNN, Centroid, Linear Regression and SVM classifiers using Sklearn.
MNIST digit recognizer using image moments and implementing KNN classifier
Data reduction for .fits files using the Astropy module and affiliate modules.
Locating (for the lols) Sardinia centroid/barycenter
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