Before revision:  It is based on a process that 1) captures the prior knowledge of the scientists as a set of incomplete clusters, 2) runs multiple clustering algorithms (similarly to clustering ensemble methods), 3) visualizes the results of all the algorithms ranked and summarized by how well each algorithm matches the prior knowledge, 5 ) evaluates the consensus between user-selected algorithms and 6 ) allows users to review details and iteratively update the acquired knowledge.
After revision:  It is based on a process that 1) captures the prior knowledge of the scientists as a set of incomplete clusters, 2) runs multiple clustering algorithms (similarly to clustering ensemble methods), 3) visualizes the results of all the algorithms ranked and summarized by how well each algorithm matches the prior knowledge, 4 ) evaluates the consensus between user-selected algorithms and 6 ) allows users to review details and iteratively update the acquired knowledge.