给定一个研究领域和一个关键词，要求搜索和总结最新的研究成果。


研究领域: 机器学习
关键词: 聚类
Machine learning research on clustering is an active area with a wide range of recent developments ranging from data-driven methods, deep clustering, active learning, and graph clustering. Some of the latest research findings include improved clustering accuracy and interpretability through the use of transformer networks, class-based clustering techniques, and multi-objective optimization. Other emerging trends in the field include scalable clustering methods, incremental clustering for streaming data, and the development of efficient clustering algorithms for extremely high-dimensional datasets.