Phân cụm các bài báo toán học theo nhóm dựa trên từ khóa bằng thuật toán SVD và thuật toán K-means
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Abstract
Clustering authors based on the keywords of their scientific papers using SVD and K-means algorithms. First, the keywords are represented using TF-IDF, followed by applying SVD to reduce dimensionality while retaining important features. Next, the K-means algorithm is used to cluster the papers according to the similarity of their keywords, thereby grouping authors with similar research topics. This combination helps optimize text data analysis effectively
Tóm tắt
Phân nhóm tác giả dựa trên từ khóa bài báo khoa học của họ bằng cách sử dụng thuật toán SVD và K-means. Đầu tiên, các từ khóa sẽ được biểu diễn bằng TF-IDF, sau đó áp dụng SVD để giảm số chiều, giữ lại các đặc trưng quan trọng. Tiếp theo, thuật toán K-means được sử dụng để phân cụm các bài báo theo mức độ tương đồng của từ khóa, từ đó các tác giả có cùng chủ đề nghiên cứu sẽ được nhóm lại với nhau. Sự kết hợp này giúp tối ưu hóa việc phân tích dữ liệu văn bản hiệu quả.
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