A new ensemble approach for hyper-spectral image segmentation by Lê Thị Cẩm Bình, Phạm Văn Nhạ, Ngô Thành Long, Phạm Thế Long

“…The ensemble is an universal machine learning method that is based on the divide-and-conquer principle. In data clustering, ensemble aims to improve performance in terms of processing speed and clustering quality. …”
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The Buddha-at-the-front, Deity-at-the-back Pagoda: A Unique Religious Structure in Vietnam by Phạm, Thị Thu Hương

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Fuzzy Co-clustering Algorithm for Multi-source Data by Lê, Thị Cẩm Bình, Phạm, Văn Nha, Phạm, Thế Long

“…In this paper, a novel multi-source data mining algorithm based on a modified fuzzy co-clustering algorithm and two penalty terms is proposed, which is called Multi-source Fuzzy Co-clustering Algorithm (MSFCOC)Experimental results on various multi-source datasets indicate that the proposed MSFCOC algorithm outper- forms existing state-of-the-art clustering al- gorithms. …”
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Multi-view fuzzy co-clustering algorithm for high-dimensional data classification by Lê, Thị Cẩm Bình, Pham, Van Nha

“…Multi-view clustering considers the diversity of different views and fuses these views to produce a more accurate and robust partition than single-view clustering. …”
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Fuzzy optimization multi-objective clustering Ensemble model for multi-source data analysis by Lê, Thị Cẩm Bình, Phạm, Văn Nha, Ngô, Thành Long

“…Ensemble is a universal machine learning model in which learning techniques can work in parallel, with big data. …”
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