That time I used a simple ML algorithm to classify deforested areas
A machine learning exercise, using KNN to classify deforested areas - victorqribeiro/deforestation
That time I used a simple ML algorithm to classify deforested areas launched on June 23, 2019 with 7 votes, #913 of 2,757 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 7 years on.
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Want something better than k-means? Try BanditPAM2023 · github.com · ▲281Want something better than k-means? I'm happy to announce our SOTA k-medoids algorithm from NeurIPS 2020, BanditPAM, is now publicly available! `pip install banditpam` or `install.packages("banditpam")` and you're good to go! k-means is one of the most widely-used algorithms to cluster data. However, it has several limitations: a) it requires the use of L2 distance for efficient clustering, which also b) restricts the data you're clustering to be vectors, and c) doesn't require the means to be datapoints in the dataset. Unlike in k-means, the k-medoids problem requires cluster centers to be…
Mask R-CNN Neural Network for Mapping Sport Fields in OpenStreetMap2018 · github.com · ▲94Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun. - jremillard/images-to-osm
Spektral – Deep learning on graphs with Keras2019 · github.com · ▲67Graph Neural Networks with Keras and Tensorflow 2. - danielegrattarola/spektral
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