Bi Cluster

Biclustering is a data analysis technique focused on identifying groups of rows and columns within a data matrix that exhibit strong internal relationships, revealing hidden patterns and structures. Current research emphasizes improving biclustering algorithms to handle overlapping clusters and heterogeneous data, particularly in applications like federated learning and active learning where data quality and distribution pose challenges. These advancements are improving the accuracy and efficiency of biclustering, leading to better insights in diverse fields such as gene expression analysis, image processing, and data compression through the use of space-filling curves. The resulting improved understanding of complex datasets has significant implications for various scientific disciplines and practical applications.