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Soft subspace clustering algorithms receive wide interests recently, because of their scalable and flexible ability at handling high dimensional sparse data. A disadvantage of those existing algorithms is their clustering results are affected by goodness of initial centroid selected by random initial method greatly. In this paper, we propose a heuristically weighting K-means algorithm and a corresponding...
Numerous attacks made by the malware have presented serious threats to the security of computer users. Unfortunately, along with the development of the malware writing techniques, the number of file samples that need to be analyzed is constantly increasing on a daily basis. An automatic and robust tool to analyze and classify the file samples is the need of the hour. In this paper, resting on the...
With the ever-increasing demand for the quality of steel plate and strip products, roll eccentricity has become an important factor affecting the product quality. as the roll eccentricity signal is periodic, Fast Fourier Transform (FFT) is used for the modeling of roll eccentricity. Because FFT has limitation, Modified FFT is developed in this paper. Even if the sampling duration is unequal to the...
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