K-Means Algorithm, Influenza Transmission, Cluster Analysis, Urban Characteristics Share and Cite: Ye, S. (2025) Application of the K-Means Algorithm in the Study of Influenza Transmission Patterns.

The k-value at that point is often a good choice. This is called the "elbow" technique. An alternative for clustering mixed categorical and numeric data is to use an old technique called k-prototypes ...

Common clustering techniques include k-means, Gaussian mixture model, density-based and spectral. This article explains how to implement one version of k-means clustering from scratch using the C# ...

在MATLAB中应用K-MEANS算法 数据的预处理 本研究的数据是某高校学生的期末考试成绩，成绩表包括以下字段：x1为“电子商务”科目成绩，x2为“C语言概论”科目基础知识。 其中，数据已经经过标准化和中心化的预处理： （1）补充缺失值。

implement K_means on matlab. Contribute to highsunday/MatLab_K_means development by creating an account on GitHub.

This respiratory consists of an excel data file for the collection of training data, the Fuzzy ART clustering algorithm, the basic algorithm of Evolving Vector Quantization, the K-Means algorithm, and ...

The k-means algorithm and adaptive k-means clustering is used to obtain high performance and efficiency in image segmentation.

Article citations More>> Kodinariya, T.M. and Makwana, P.R. (2013) Review on Determining Number of Cluster in K-Means Clustering. International Journal, 1, 90-95. has been cited by the following ...

Using the Matlab/Octave platform means it can use several existing toolboxes to support a variety of input and output formats, and use surface-based neighborhood definitions through the surfing ...