Application of Fuzzy Clustering for Text Data Dimensionality Reduction
نویسندگان
چکیده
منابع مشابه
A Fuzzy C-means Algorithm for Clustering Fuzzy Data and Its Application in Clustering Incomplete Data
The fuzzy c-means clustering algorithm is a useful tool for clustering; but it is convenient only for crisp complete data. In this article, an enhancement of the algorithm is proposed which is suitable for clustering trapezoidal fuzzy data. A linear ranking function is used to define a distance for trapezoidal fuzzy data. Then, as an application, a method based on the proposed algorithm is pres...
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High dimensionality of the feature space is one of the major concerns owing to computational complexity and accuracy consideration in the text clustering. Therefore, various dimension reduction methods have been introduced in the literature to select an informative subset (or sub list) of features. As each dimension reduction method uses a different strategy (aspect) to select a subset of featu...
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ژورنال
عنوان ژورنال: International Journal of Knowledge Engineering and Data Mining
سال: 2019
ISSN: 1755-2087,1755-2095
DOI: 10.1504/ijkedm.2019.10023548