One of the most significant problems in cluster analysis is to determine the number of clusters in unlabeled data, which is the input for most clustering algorithms. Some methods have been developed ...

It's a Python application that sorts images by their similarity based on ConvNext deep learning features and HSV histogram comparison. Embeddings are pre-clustered with K-Means. FAISS index assigned ...

This paper presents a novel approach to the K-Means clustering algorithm using continuous variable (CV) quantum computing, specifically leveraging Gaussian states on quantum photonic hardware. We ...