Divisive-agglomerative algorithm and complexity of automatic classification problems
arXiv:1607.02419v11 citations
Originality Synthesis-oriented
AI Analysis
This addresses classification problems in data analysis, but appears incremental as it builds on existing methods without specifying novel applications.
The paper tackles the Automatic Classification problem by proposing a divisive-agglomerative algorithm to find partitions from pattern or dissimilarity/similarity matrices, but no concrete results or numbers are provided.
An algorithm of solution of the Automatic Classification (AC for brevity) problem is set forth in the paper. In the AC problem, it is required to find one or several artitions, starting with the given pattern matrix or dissimilarity, similarity matrix.