Search and clustering vectors in C++
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Updated
Jan 2, 2021 - C++
Search and clustering vectors in C++
A tool for visualizing multidimensional objects and their intersections: http://eseraygun.com/elements/
Data Structures and Algorithms
Isometric projection of 2-cube, 3-cube, 4-cube, ... , 8-cube
Software Development for Algorithmic Problems (UoA) Assignments
Algorithmic problem-solving project using autoencoders for dimension reduction, nearest neighbor search algorithms, and K-means clustering. Developed as part of a university course on software development for algorithmic problems.
Home built 3D printers related files (firmware, hardware, custom parts...)
Clustering methods implementations in C++: Lloyd, K-Means, K-Means++, PAM
First assignment for the University Senior Project course
Multiple algorithms on KNN & Clustering on MNIST dataset implemented in C++ & .Jupyter Notebook
My flavor of Marlin for my Hypercube Evolution build, running off of an MKS Robin Nano v1.2 with a 300mm^3 build volume.
📈|Time Series - Nearest neighbor search and Clustering using LSH, Hypercube (and Lloyd's only at the clustering) algorithms with metrics: L2, Discrete and Continuous Fréchet.
Fourmilab Tesseract provides models of a four-dimensional hypercube and three other four-dimensional regular polytopes (the 5-, 16-, and 24-cell) which are projected into the three-dimensional space of the Second Life virtual world.
Testing the effectiveness of Approximate k-NN search with LSH and Hypercube on MNIST. Also, implemented k-medians++ for the same dataset.
Neighbor Search and Clustering for Vectors using Locality-sensitive hashing and Randomized Projection to Hypercube
The shadow of a Hypercube....
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