Mathematical Classification and Clustering

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Focusing on clustering methodologies, this monograph by Boris Mirkin presents a comprehensive overview of the discipline, integrating theoretical and practical aspects from various fields such as biology, sociology, and optimization. It features original Russian research, including unique adaptations of the K-Means method and uniform partitioning. Mirkin's innovative approach to approximation clustering enhances both the systematization and development of new optimization techniques. This work serves as a valuable resource for specialists and students across multiple scientific disciplines.