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Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering algorithms to a ...

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However, there are some issues, such as personal factors and data security concerns. In order to solve the above problems, the K-means algorithm is optimized from the perspectives of K-value validity ...

概要： 本文将要介绍机器学习的一种常见算法：k-means聚类。聚类属于无监督学习，相比于分类，聚类不依赖预定义的类和类标号的训练实例。由于k-means聚类比较简单，所以我主要介绍在写相关代码时的体验。代码仍是用MATLAB写的。 k-means聚类可以说是 ...

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For example, one of the most widely used approaches in previous study is K-means, which is simpler, more versatile, and easier to understand and formulate. The only disadvantage of the K-means ...

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