SOCEN-CLUSTER: A new rapid clustering technique

Farouk Baccari, M. Sayadi
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Abstract

In this paper, we present a novel clustering technique for unindexed, randomized, multidimensional, datasets. The main advantage of the proposed technique is the time and space complexity that were reduced to linear cardinality dependency. The algorithmic implementation shown in this paper uses some heuristics to enhance the overall execution time and space required making them fully scalable. This particularity makes it easier for ASICS / FPGA architects to implement such a technique in a constrained environment.
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SOCEN-CLUSTER:一种新的快速聚类技术
在本文中,我们提出了一种新的无索引、随机、多维数据集聚类技术。该技术的主要优点是将时间和空间复杂性降低为线性基数依赖。本文中展示的算法实现使用一些启发式方法来提高总体执行时间和所需的空间,使它们具有完全的可扩展性。这种特殊性使得ASICS / FPGA架构师更容易在受限的环境中实现这种技术。
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