H. Mannila

Poisson Subspace Clustering: Focusing on the Essentials in Count Data

Count data represented as a matrix of non-negative integer values, such as contingency tables, are prevalent across diverse domains. When clustering such data sets, specific methods are required, as generic algorithms often fail to consider their unique distributional properties, leading to unreliable outputs. An effec...