Simultaneous experimentation of self-learning classification, connectivity analysis and visualisation for data interpretation

摘要

Self-learning classification of data and connectivity analysis using probabilistic and fuzzy concepts are compared with subjective and visual rearrangement of data. Both methodologies are fully described and results are compared on two examples: crisp binary data and normalized real data.