Density-based clustering for vector embeddings using HDBSCAN and cosine similarity. Features automatic parameter search, PCA, and quality metrics without defining cluster counts.
Abstract: Consumer segmentation is a very effective methodology that could enable organizations to gain a deeper comprehension of their consumer base and customize their tactics accordingly in order ...
Abstract: This paper introduces a codebook-based trellis-coded quantization (TCQ) approach utilizing K-means clustering, designed specifically for massive multiple-input multiple-output systems. The ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback