Multiple source clustering: a probabilistic reasoning approach

Chinese–Tibetan bilingual clustering based on random walk

“…In the literature of multi-source clustering, one of the earliest researches was conducted by Leih et al [1]. In that work, to incorporate disparate forms of information from different sources, a Bayesian network approach is utilize to compute similarity matrix.…”

“…Such multi-source phenomenon is also called multi-view in some literatures [1][2][3][4]. In multi-source data, one common assumption is adopted that the class (cluster) structures in different sources would agree with each other, although they are characterized in different forms or different feature spaces.…”