Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present the first framework for comparing subspace clusterings.  propose several distance measures for subspace clusterings, including generalizations of ll-known distance measures for ordinary clusterings.  describe a set of important properties for any measure for comparing subspace clusterings and give a systematic comparison of our proposed measures in terms of these properties.  validate the usefulness of our subspace clustering distance measures by comparing clusterings produced by the algorithms FastDOC, HARP, PROCLUS, ORCLUS, and SSPC.  show that our distance measures can be also used to compare partial clusterings, overlapping clusterings, and patterns in binary data matrices.
['Anne Patrikainen', 'Marina Meila']
I am writing a research paper on a idea Comparing subspace clusterings
[{"from": "human", "value": "I am writing a research paper on a idea Comparing subspace clusterings"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present the first framework for comparing subspace clusterings.  propose several distance measures for subspace clusterings, including generalizations of ll-known distance measures for ordinary clusterings.  describe a set of important properties for any measure for comparing subspace clusterings and give a systematic comparison of our proposed measures in terms of these properties.  validate the usefulness of our subspace clustering distance measures by comparing clusterings produced by the algorithms FastDOC, HARP, PROCLUS, ORCLUS, and SSPC.  show that our distance measures can be also used to compare partial clusterings, overlapping clusterings, and patterns in binary data matrices."}]