cchatzis/Multilinear-Subspace-Learning-Algorithms

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Created about 3 years ago
Updated about 3 years ago

cchatzis/Multilinear-Subspace-Learning-Algorithms

cchatzis

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Python notebooks implementing multilinear PCA (MPCA, UMPCA) and LDA (UMLDA) algorithms using Tensorly.

Nearest-Neighbour-LSH

C++ program that, given a vectorised dataset and query set, performs locality sensitive hashing, finding either Nearest Neighbour (NN) or Neighbours in specified range of points in query set, using either Euclidian distance or Cosine Similarity.

IPC-Protocol-Implementation

C++ program(s) that implement(s) a specific protocol of IPC (Inter-Process Communication), using semaphores and shared memory segments.

OO-Kmeans

Jupyter notebook with Object Oriented implementation of the k-means clustering algorithm. Experimenting with both random and k-means initialization.

Jupyter Notebook

tPARAFAC2

Implementation of t(emporal)PARAFAC2.

Jupyter Notebook