function in R for calculating a centroid matrix

Most of the problems I solved and algorithms I grinded while prepairing for the Russian Olympiad in Informatics.

Implementaion of K-Means & Page Rank algorithms. (extend of "IR-CosineSimilarity-vs-Freq" repository)

Simple object tracking by using the centroid tracking algorithm

Jython does not have the GIL problem that CPython has, so we use this to easily create a threaded K-Means program.

Supervised Learning Recap

Data Analysis, EDA and Unsupervised Machine Learning Models on Uber NY Dataset

We'll use Python to build and evaluate several machine learning models to predict credit risk. Being able to predict credit risk with machine learning algorithms can help banks and financial institutions predict anomalies, reduce risk cases, monitor portfolios, and provide recommendations on what to do in cases of fraud.

Centroid-UNet is deep neural network model to detect centroids from satellite images.

Unsupervised Machine Learning and Cryptocurrencies

Using Supervised Machine Learning algorithms to identify credit risks

Analyse d'un groupement de pays cible pour l'exportation de poulet (clustering, CAH, k-means, ACP)

Um exemplo que mostra o cálculo do número e a distâncias aos centroides utilizando um dataset de flores iris.

Center points of world countries - CSV and GeoJSON

Parallellization of the Kmeans algorithm with OpenMP

Clustering algorithm with other functions (Laplacian Norm, Jacobi algorithm - Eigenvalues and Eigenvectors extractor, etc)

With this Python code it's possible to find the centroid of a regular or irregular geometric figures wich are solid or have holes, using Open CV library

From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually. Use R or Python to perform this task

object detections on polygonal roi using yolo