Modified DBSCAN algorithm on oculomotor fixation identification
نویسندگان
چکیده
This paper modifies the DBSCAN algorithm to identify fixations and saccades. This method combines advantages from dispersionbased algorithms, such as resilience to noise and intuitive fixational structure, and from velocity-based algorithms, such as the ability to deal appropriately with smooth pursuit (SP) movements.
منابع مشابه
بررسی مشکلات الگوریتم خوشه بندی DBSCAN و مروری بر بهبودهای ارائهشده برای آن
Clustering is an important knowledge discovery technique in the database. Density-based clustering algorithms are one of the main methods for clustering in data mining. These algorithms have some special features including being independent from the shape of the clusters, highly understandable and ease of use. DBSCAN is a base algorithm for density-based clustering algorithms. DBSCAN is able to...
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