TY - GEN
T1 - Energy based evolving mean shift algorithm for neural spike classification
AU - Yang, Zhi
AU - Zhao, Qi
AU - Liu, Wentai
PY - 2009
Y1 - 2009
N2 - This paper presents a novel nonparametric clustering algorithm, called energy based evolving mean shift (EMS) clustering. It defines an energy function to characterize the compactness of the underlying data set and proves the clustering procedure converges. Through iterations, the data points collapse into well formed clusters and the associated energy approaches zero. Although as a general algorithm, the EMS is designed for resolving neural spikes to individual sources which is usually called "spike sorting".
AB - This paper presents a novel nonparametric clustering algorithm, called energy based evolving mean shift (EMS) clustering. It defines an energy function to characterize the compactness of the underlying data set and proves the clustering procedure converges. Through iterations, the data points collapse into well formed clusters and the associated energy approaches zero. Although as a general algorithm, the EMS is designed for resolving neural spikes to individual sources which is usually called "spike sorting".
UR - http://www.scopus.com/inward/record.url?scp=77950992343&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77950992343&partnerID=8YFLogxK
U2 - 10.1109/IEMBS.2009.5334007
DO - 10.1109/IEMBS.2009.5334007
M3 - Conference contribution
C2 - 19964491
AN - SCOPUS:77950992343
SN - 9781424432967
T3 - Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
SP - 966
EP - 969
BT - Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PB - IEEE Computer Society
T2 - 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Y2 - 2 September 2009 through 6 September 2009
ER -