The basic K-means is sensitive to the initial centre and easy to get stuck at local optimal value. To solve such problems, a new clustering algorithm is proposed based on simulated annealing. The ...

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 ...

Clustering has been intensively studied in machine learning and data mining communities. Although demonstrating promising performance in various applications, most of the existing clustering ...