Combining attribute content and label information for categorical data ensemble clustering

•We propose a new ensemble clustering framework that combines original data information and label information to form the information matrix.•The new framework can be instantiated into many algorithms because of different ways of generating the set of clusterings and the final partition.•The information matrix can be instantiated into many individuals because of different ways of combining information from original data and label.•We form an instantiated matrix ALM considering distributions of attribute content in ensemble members and relationships among ensemble members.