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| A linear-Discriminant-Analysis-Based Approach to Enhance the Performance of Fuzzy C-means Clustering in Spike Sorting With low-SNR Data
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International Journal of Biometrics and Bioinformatics (IJBB) |
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Volume: 1 Issue: 1 |
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Pages: 1-13 |
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Publication
Date: June 2007 |
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ISSN
(Online): 1985-2347 |
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Pages |
1 - 13 |
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Author(s) |
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Published
Date |
30-06-2007 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Spike sorting, spike classification, fuzzy c-means, principal-component analysis, linear discriminant analysis, low-SNR. |
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| Spike sorting is of prime importance in neurophysiology and hence has received
considerable attention. However, conventional methods suffer from the degradation
of clustering results in the presence of high levels of noise contamination. This paper
presents a scheme for taking advantage of automatic clustering and enhancing the
feature extraction efficiency, especially for low-SNR spike data. The method employs
linear discriminant analysis based on a fuzzy c-means (FCM) algorithm. Simulated
spike data [1] were used as the test bed due to better a priori knowledge of the spike
signals. Application to both high and low signal-to-noise ratio (SNR) data showed that
the proposed method outperforms conventional principal-component analysis (PCA)
and FCM algorithm. FCM failed to cluster spikes for low-SNR data. For two
discriminative performance indices based on Fisher's discriminant criterion, the
proposed approach was over 1.36 times the ratio of between- and within-class
variation of PCA for spike data with SNR ranging from 1.5 to 4.5 dB. In conclusion,
the proposed scheme is unsupervised and can enhance the performance of fuzzy
c-means clustering in spike sorting with low-SNR data. |
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| 1 |
T. Rashid, “Classification of Churn and non-Churn Customers in Telecommunication Companies” International Journal of Biometrics and Bioinformatics (IJBB), 3(5), pp. 66-95, Nov. 2009.
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| 2 |
C. Yang , Y. Yuan and J. Si, “High Performance Spike Detection and Sorting Using Neural Waveform Phase Information and SOM Clustering” in Proceedings of Neural Networks (IJCNN), The 2010 International Joint Conference , Barcelona, 18-23 July 2010.
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| Chien-Wen Cho : Colleagues
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| Wen-Hung Chao : Colleagues
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| You-Yin Chen : Colleagues
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