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多邊矩陣的剖面壓縮代數和半張量積及其數據挖掘

Compression Algebra of Multilateral Matrix Subdivision and both Half-Tensor Product and Data Mining

  • 摘要: 引入多邊矩陣的剖面壓縮代數概念,介紹多邊矩陣的剖面壓縮代數的一些性質,論證了多邊矩陣的剖面壓縮代數滿足結合律和分配律,研究多邊矩陣的剖面壓縮代數和一般矩陣半張量積、數據挖掘之間的關系,將一般矩陣半張量積的概念推廣成一般矩陣壓縮半張量積。

     

    Abstract: The concepts of compression algebra of multilateral matrix subdivision were introduced, and many of the basic properties of compression algebra of multilateral matrix subdivision were presented, and both associative law and distributive law for the compression algebra of multilateral matrix subdivision were demonstrated. To promote the concepts of half-tensor product of two matrixes as commonly compression half-tensor product, the relationship among the compression algebra of multilateral matrix subdivision, matrix left half-tensor product, and the data mining was investigated.

     

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