To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...
Abstract: In this study, FCM and K-means clustering are in contrast to Fuzzy C Means (FCM), which initializes cluster centrist and calculates membership degrees for each data point, allowing for soft ...
PCA and K-means clustering applied to Raman and PL imaging reveal structural defects in silicon wafers, enhancing understanding of optoelectronic performance.
Abstract: This paper proposes a k-means algorithm enhanced with GEO (Golden Eagle Optimizer) optimization to address the challenges encountered by traditional k-means algorithm, such as being highly ...
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