IT-map: an Effective Nonlinear Dimensionality Reduction Method for Interactive Clustering

26 Jan 2015Teng QiuYongjie Li

Scientists in many fields have the common and basic need of dimensionality reduction: visualizing the underlying structure of the massive multivariate data in a low-dimensional space. However, many dimensionality reduction methods confront the so-called "crowding problem" that clusters tend to overlap with each other in the embedding... (read more)

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