시계열 데이터 분석을 위한 바이클러스터링 방법

Biclustering is the method that clusters objects and features simultaneously. It is usually used to analysis of microarray data, which consists of genes and conditions. Common biclustering algorithms ignore sequential relation between time points. But for time series data time sequence should be maintained in a bicluster solution for useful meaning. So, this paper proposes a new biclustering algorithm for time series data based on the binary least square algorithm.