6.3 Synaptic convergence to centroids: AvQ algorithms Competitive avQ Stochastic Differential Equations R=D1∪D2∪D3…Dk 1≠ The random indicator function fx∈D 0 if xed Supervised learning algorithms depend explicitly on the indicator functions. Unsupervised learning algorithms don't require this pattern-class information Centriod of D 「D.xp(x)dx x Ip p(x)dx 2003.11.192003.11.19 7 6.3 Synaptic convergence to centroids: AVQ Algorithms 1 2 3.... , k n R D D D D D D if i j i j =     =   The Random Indicator function Supervised learning algorithms depend explicitly on the indicator functions.Unsupervised learning algorithms don’t require this pattern-class information. Centriod of : 1 ( ) 0 j j D j if x D I x if x D   =     ( ) ( ) j j D j D xp x dx x p x dx  =  Competitive AVQ Stochastic Differential Equations: Dj