In order to improve the traditional locally linear embedding(LLE),a strategy to select parameters adaptively is proposed by studying the relationship between clustering and dimension reduction.An unified computation model for simultaneous clustering and dimension reduction is proposed.The novel adaptive algorithm designs the optimal neighbor space for each sample.It’s adaptive to select adjacent points for calculating reconstruction matrix.And the error function has been redefined based on categ...