Clustering algorithms subjected to K-mean and gaussian mixture model on multidimensional data set
نویسندگان
چکیده
منابع مشابه
Comparative Analysis of Hybrid K-Mean Algorithms on Data Clustering
Data clustering is a process of organizing data into certain groups such that the objects in the one cluster are highly similar but dissimilar to the data objects in other clusters. K-means algorithm is one of the popular algorithms used for clustering but k-means algorithm have limitations like it is sensitive to noise ,outliers and also it does not provides global optimum results. To overcome...
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ژورنال
عنوان ژورنال: Periodicals of Engineering and Natural Sciences (PEN)
سال: 2019
ISSN: 2303-4521
DOI: 10.21533/pen.v7i2.484