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1

  • HIGH-DIMENSION DATA GROUPING RECENT APPROACHES AND SPECIFIC HIERARCHICAL GROUPING TECHNIQUES



2

Abstract:
High-dimensional data grouping is an important task in many areas, such as bioinformatics, image analysis, and finance. In recent years, various approaches have been developed for tackling this task, including clustering, classification, and dimensional reduction techniques. In this article, we will discuss recent approaches and specific hierarchical grouping techniques that are commonly used for high-dimensional data grouping


14-24
2

  • DERIVATION IN NON-ASSOCIATE ALGEBRAIC



Sanjay Goyal

Abstract:
In this paper we will explain about the basic of non-associative algebra using triality group and some were matric and graph representation.A Non-associative algebra structure can be studied with other associative algebraic as K-endomorphisms of A just like K-Vector Space. Whereas as some of the researchers we have also consider non-associative algebraic as a multiplicative operation of a commutative Ring R.


1-4
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