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Data Mining is an efficient data analysis process which is used to find the patterns and relationship of a large database. Clustering is a popular technique of data mining for unsupervised learning in which labels are not defined previously. K-Mean is a well known partitioning technique for forming different clusters, but it has the drawback of initial sensitivity and local optima convergence. K-Harmonic...
The major drawback of multicarrier transmission such as Orthogonal Frequency Division Multiplexing (OFDM) and Wavelet Packet Modulation (WPM) is their high Peak-to-Average Power Ratio (PAPR). In this paper, we propose Genetic Algorithm (GA) based approach for the reduction of PAPR. The GA approach has proved to be an efficient optimization tool for the reduction of PAPR as well as the computational...
This paper presents a scan statistic, progressive upper level set (PULSE) scan statistic, for geospatial hotspot detection and its software implementation. Like ULS, the PULSE scan statistic is based on the arbitrarily shaped scan window and can be adapted for a network setting. PULSE is a refinement of the upper level set (ULS) scan statistic. Like some other likelihood based scanning devices, the...
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