نتایج جستجو برای: mean clustering method

تعداد نتایج: 2188180  

Journal: :iranian journal of public health 0
amir abbas hamedian allahbakhsh javid saeed motesaddi zarandi yousef rashidi monireh majlesi

background: since the industrial revolution, the rate of industrialization and urbanization has increased dramatically. regarding this issue, specific regions mostly located in developing countries have been confronted with serious problems, particularly environmental problems among which air pollution is of high importance. methods: eleven parameters, including co, so 2 , pm 10 , pm 2.5 , o 3 ...

Journal: :IEEE Transactions on Pattern Analysis and Machine Intelligence 2014

Journal: :Information Technology Journal 2008

Journal: :amirkabir international journal of modeling, identification, simulation & control 2015
hamed milanchian jafar keighobadi hossein nourmohammadi

in a strapdown magnetic compass, heading angle is estimated using the earth's magnetic field measured by three-axis magnetometers (tam). however, due to several inevitable errors in the magnetic system, such as sensitivity errors, non-orthogonal and misalignment errors, hard iron and soft iron errors, measurement noises and local magnetic fields, there are large error between the magnetometers'...

2007
Arindam Banerjee Joydeep Ghosh

In this paper, an effective and efficient model-based 2-clustering approach using Fisher kernel based similarities [2][3] is proposed. The Fisher kernel is derived from the knowledge of the family of the distribution generating the data. In the proposed approach, we refrain from trying to estimate the parameters of the unknown mixture distributions generating the data using the EM algorithm. In...

Journal: :Pattern Recognition 2008
Umut Ozertem Deniz Erdogmus Robert Jenssen

In recent years there has been a growing interest in clustering methods stemming from the spectral decomposition of the data affinity matrix, which are shown to present good results on a wide variety of situations. However, a complete theoretical understanding of these methods in terms of data distributions is not yet well understood. In this paper, we propose a spectral clustering based mode m...

Journal: :IEEE Trans. Speech and Audio Processing 1998
Boh Lim Sim Yit Chow Tong Joseph Sylvester Chang Chin-Tuan Tan

In this paper, two short-time spectral amplitude estimators of the speech signal are derived based on a parametric formulation of the original generalized spectral subtraction method. The objective is to improve the noise suppression performance of the original method while maintaining its computational simplicity. The proposed parametric formulation describes the original method and several of...

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