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agrawal-priyank / machine-learning-clustering-retrieval

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Built text and image clustering models using unsupervised machine learning algorithms such as nearest neighbors, k means, LDA , and used techniques such as expectation maximization, locality sensitive hashing, and gibbs sampling in Python

python machine-learning retrieval nearest-neighbor-search expectation-maximization locality-sensitive-hashing kmeans kd-trees gibbs-sampling unsupervised-machine-learning machine-learning-clustering
  • Updated Jan 20, 2018
  • Jupyter Notebook

matakshay / NN-Classifier-using-VPTree

Star 2

An efficient Nearest Neighbor Classifier for the MINST dataset. It uses a VP Tree data structure for preprocessing, thus improving query time complexity

classifier machine-learning algorithms machine-learning-algorithms data-structures nearest-neighbor-search mnist-classification mnist-dataset kd-trees vantage-point-tree vp-tree manhattan-distance nearest-neighbours-classifier euclidean-distances knn-classifier nearest-neighbour-algorithm knn-algorithm chebyshev-distance
  • Updated Sep 24, 2020
  • Java