{ "_id": "6a16bb49acfb0bcc41d86dad", "Package": "RobPC", "Type": "Package", "Date": "2025-02-14", "Title": "Robust Panel Clustering Algorithm", "Version": "1.4", "Authors@R": "person(given=\"Hasan\",family=\"Bulut\",email = \"hasan.bulut@omu.edu.tr\", role = c(\"aut\", \"cre\"))", "Author": "Hasan Bulut [aut, cre]", "Maintainer": "Hasan Bulut ", "Description": "Performs both classical and robust panel clustering by\napplying Principal Component Analysis (PCA) for dimensionality\nreduction and clustering via standard K-Means or Trimmed\nK-Means. The method is designed to ensure stable and reliable\nclustering, even in the presence of outliers. Suitable for\nanalyzing panel data in domains such as economic research,\nfinancial time-series, healthcare analytics, and social\nsciences. 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