The study introduces image segmentation and denoising method which is based on geodesic framework and k means algorithm. Our method combines geodesic with k means algorithm. What's more, a denoising method is appl...
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This paper introduces data mining technology in enterprise competitive intelligence system; and then introduced theoretical foundation and main clustering method of cluster analysis. The article emphasis on the FCM al...
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This paper introduces data mining technology in enterprise competitive intelligence system; and then introduced theoretical foundation and main clustering method of cluster analysis. The article emphasis on the FCM algorithm and principle and described implementation steps, and proposed the improvement FCM algorithm based on k mean particle size; finally, realize the design and implementation of enterprise competitive intelligence analysis and mining service system, and the improved FCM algorithm is applied in the system.
This paper introduces data mining technology in enterprise competitive intelligence system;and then introduced theoretical foundation and main clustering method of cluster analysis. The article emphasis on the FCM alg...
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This paper introduces data mining technology in enterprise competitive intelligence system;and then introduced theoretical foundation and main clustering method of cluster analysis. The article emphasis on the FCM algorithm and principle and described implementation steps, and proposed the improvement FCM algorithm based on k mean particle size;finally, realize the design and implementation of enterprise competitive intelligence analysis and mining service system, and the improved FCM algorithm is applied in the system.
It is accepted beyond doubt that the back bone of mass transportation in India is Railways and it is regarded as the lifeline of the nation. Indian Railways is using various information technology based systems to mai...
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ISBN:
(纸本)9781479910243
It is accepted beyond doubt that the back bone of mass transportation in India is Railways and it is regarded as the lifeline of the nation. Indian Railways is using various information technology based systems to maintain and manage its infrastructural resources, leading to generation and accumulation of voluminous data. The data captured is expected to possess hidden meaning and trend which, if properly explored and modelled, can aid in implementing the new paradigm called Predictive Maintenance and Management. The thrust to usher in the new paradigm amply manifests in its Vision 2020 statement, too. The paper aims to showcase a methodology using Clustering, a Data Mining Technique that can bring in a maintenance plan built upon the predictive behaviour exhibited by failure data. The model outlined here has been tested on actual failure data pertaining to passenger carrying vehicles of trains.
A computer-based statistical pattern recognition system has been developed for the analysis of transcranial Doppler (TCD) spectral waveforms of the intracranial middle cerebral artery with varying degrees of increased...
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A computer-based statistical pattern recognition system has been developed for the analysis of transcranial Doppler (TCD) spectral waveforms of the intracranial middle cerebral artery with varying degrees of increased intracranial pressure. This system extracts multidimensional features from TCD waveforms and performs a cluster analysis of those features. The system can automatically recognize the pattern of spectral waveform and classify it as a normal, abnormal, or borderline subclass of TCD spectral waveform. An optimum decision function was generated based on the Bayes Gaussian classifier. The accuracy of the Bayes Gaussian model the spectral waveforms reaches 100% by estimating posterior probability and using the resubstituting method of estimating misclassification in the training TCD data.
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