We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering. Paired data are common i...
—The evolution of a software project is a rich data source for analyzing and improving the software development process. Recently, several research groups have tried to cluster s...
Understanding a software system by just analyzing the structure of the system reveals only half of the picture, since the structure tells us only how the code is working but not w...
The paper describes the initial results of applying Latent Semantic Analysis (LSA) to program source code and associated documentation. Latent Semantic Analysis is a corpus-based ...
There is an emerging class of real-time interactive applications that require the dynamic integration of task and data parallelism. An example is the Smart Kiosk, a free-standing ...
James M. Rehg, Kathleen Knobe, Umakishore Ramachan...