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In this paper, a Deep Fractional Calculus-Improved Invasive Weed Optimization fuzzy clustering (Deep FC-IIWO fuzzy clustering) based scheme is developed to cluster big data. The map-reduce architecture is employed to tackle the over-fitting obstacles occurring in the clustering of big data. The features are extracted using the mapping function which is followed by clustering in the reducer stage. Furthermore, the selection of features is essential for further clustering process. Here, the Minkowski distance measure is applied for selecting the most prominent features. The approach of clustering is executed with the help of the devised Deep FC-IIWO fuzzy clustering model. The implemented FC-IIWO framework is newly created by integrating Fractional Calculus (FC) and Improved Invasive Weed Optimizer (IIWO). The proposed Deep FC-IIWO fuzzy clustering scheme performed better than other prevailing models concerning the rand coefficient, Jaccard coefficient, and clustering accuracy of 0.9563, 0.9379, and 0.9522, correspondingly.<\/jats:p>","DOI":"10.1142\/s021848852550014x","type":"journal-article","created":{"date-parts":[[2025,5,20]],"date-time":"2025-05-20T05:48:15Z","timestamp":1747720095000},"page":"329-352","source":"Crossref","is-referenced-by-count":0,"title":["Deep FC-IIWO Fuzzy Clustering: An Optimized Fuzzy Clustering Approach for Big Data Clustering"],"prefix":"10.1142","volume":"33","author":[{"given":"D.","family":"Sudha","sequence":"first","affiliation":[{"name":"Research Scholar, Department of CSE, Sathyabama Institute of Science and Tecnology, Chennai, Tamilnadu, 600129, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.","family":"Gowri","sequence":"additional","affiliation":[{"name":"Professor, Department of Computer Science and Engineering, 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