Density-based Text Clustering using Document Embeddings
AI, Data Mining and Data-Driven Solutions in Different Fields: 36AI 2020
Density-based clustering algorithms can accurately identify arbitrary shaped clusters, characteristic which makes them advantageous for many real-life datasets. However, most density-based clustering algorithms are affected by the curse of dimensionality, since they rely on distance metrics and range queries. In this paper, we demonstrate how…