Data Cube

A data cube is a multi-dimensional array representing data, often used to store and analyze large datasets with multiple variables and time series. Current research focuses on improving data cube processing and analysis, particularly for hyperspectral images, using advanced techniques like convolutional neural networks (CNNs), transformers, and deep clustering algorithms to address challenges such as dimensionality reduction, noise reduction, and efficient segmentation. These advancements are crucial for various applications, including remote sensing, precision agriculture, and material analysis, enabling more accurate and efficient data-driven insights. Furthermore, research is actively exploring optimized data cube storage and management for machine learning workloads, improving data quality management, and developing robust outlier detection methods.