WiMi Developed An Integrated Multidisciplinary Algorithm-----MultiFeatureEvoCluster

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[{"type":"text","content":"BEIJING, Nov. 29, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) (\"WiMi\" or the \"Company\"), a leading global Hologram Augmented Reality (\"AR\") Technology provider, today announced that it developed an integrated multidisciplinary algorithm for clustering heterogeneous datasets, namely, MultiFeatureEvoCluster technology, which not only effectively handles multi-featured datasets, but also assigns explicit semantic meanings to the clustering results.\n\nTraditional clustering methods are based only on attributes, distances, and density values of homogeneous and single-feature datasets, which cannot add clear semantic meaning to the clustering results. WiMi's MultiFeatureEvoCluster technology is an innovative cluster analysis method designed for processing heterogeneous datasets. The technology integrates advanced techniques and methods from multiple subject areas to ensure efficient processing and accurate clustering of complex datasets.\nMultiFeatureEvoCluster employs a recombination evolutionary operator, which is capable of dynamically adjusting the cluster structure of the data during the clustering process, thus improving the adaptability of the clustering algorithm. Second, the technology utilizes Levy on-the-fly optimization, a stochastic search-based optimization method that helps the algorithm quickly find key patterns and clustering features in the data set, accelerating the speed and accuracy of the clustering analysis. In addition, the MultiFeatureEvoCluster incorporates several statistical techniques, including quartiles and percentiles. These can help the algorithm better understand the distribution characteristics and trends of the data, thus improving the accuracy and reliability of the clustering analysis. It also employs the Euclidean distance of the K-mean algorithm as a measure of similarity between data to ensure the validity and stability of the clustering results.\nAt the core of WiMi's MultiFeatureEvoCluster technology is a multidisciplinary integration that combines knowledge and techniques from different subject areas to form a unique framework for cluster analysis. By integrating evolutionary algorithms, optimization methods and statistical techniques, MultiFeatureEvoCluster technology can handle complex heterogeneous datasets with different types of data, including text, images, nume...

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