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quant-ph2026
Adaptive Quantum Optimized Centroid Initialization
Nicholas R. Allgood, Ajinkya Borle, Charles K. Nicholas
Prototype-based clustering algorithms such as k-means are sensitive to the selection of initial cluster centroids, with poor initialization leading to slower convergence and subopt…
quant-ph2025
Non-Negative Matrix Factorization Using Non-Von Neumann Computers
Ajinkya Borle, Charles Nicholas, Uchenna Chukwu +2
Non-negative matrix factorization (NMF) is a matrix decomposition problem with applications in unsupervised learning. The general form of this problem (along with many of its varia…
quant-ph2024
Biclustering a dataset using photonic quantum computing
Ajinkya Borle, Ameya Bhave
Biclustering is a problem in machine learning and data mining that seeks to group together rows and columns of a dataset according to certain criteria. In this work, we highlight t…