With the rapid development of digital earth, there are higher demands for the virtual of true
feeling marine environments and the reveal of the rules hidden in multi-source data. First, an …

Clustering is widely used in text analysis, natural language processing, image segmentation
and other data mining fields. However, traditional clustering algorithms, such as K-means …

In this paper, a Transfer Fuzzy C-Means clustering algorithm based on Maximum Mean
Discrepancy (TFCM-MMD) is proposed. TFCM-MMD solves the problem that the transfer …

Generalized Few-Shot Segmentation (GFSS) aims to segment both base and novel classes
in a query image, conditioning on richly annotated data of base classes and limited …

该文针对迁移聚类问题, 提出一种基于最大**均差异的迁移模糊C 均值(TFCM-MMD) 聚类算法.
TFCM-MMD 解决了迁移模糊C 均值聚类算法在源域与目标域数据分布差异大的情况下迁移 …