A New Method for Dimensionality Reduction Using KMeans Clustering Algorithm for High Dimensional Data Set
نویسندگان
چکیده
منابع مشابه
A New Method for Dimensionality Reduction using K-Means Clustering Algorithm for High Dimensional Data Set
Clustering is the process of finding groups of objects such that the objects in a group will be similar to one another and different from the objects in other groups. Dimensionality reduction is the transformation of high-dimensional data into a meaningful representation of reduced dimensionality that corresponds to the intrinsic dimensionality of the data. K-means clustering algorithm often do...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2011
ISSN: 0975-8887
DOI: 10.5120/1789-2471