fuzzy clustering analyse 模糊聚类分析
Clustering analyse is one of the ways to know things.
聚类分析是认识事物的基本途径之一。
参考来源 - ART2神经网络与化学模式聚类分析的研究As one kind of data mining techniques, clustering analyse is used commonly.
在各种数据挖掘方法中,聚类分析是较常用的一种。
参考来源 - 一种蚂蚁聚类算法及其在入侵检测中应用的研究·2,447,543篇论文数据,部分数据来源于NoteExpress
We can know the essential characters of things more clearly by clustering analyse.
通过聚类分析,可以更清楚的认识事物的本质特征。
In this paper, we will bring fuzzy clustering analyse into a kind of investment decisions in fuzzy conditions, and provide a quantitative and mathematical method to solve such questions.
文章针对公交客运班线开通时出现的状况区分不确切、边界不清楚的情况,引入了模糊聚类分析方法,将模糊情景问题进行了定量化和数学化。
Clustering can analyse the data effectively, which has a wide use in many fields, such as data mining, numerical analysis and pattern recognition.
聚类可以对数据进行有效分析,在数据挖掘、数值分析、模式识别等领域有着非常广泛的应用。
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