Proposal of a Classification Method for Cross-Tabulation Results of Resident Survey Data Based on Nonnegative CP Decomposition

Puntos clave

• This classification method successfully identifies important response patterns from cross-tabulation results.
• Using nonnegative CP decomposition, key tendencies from resident survey data can be extracted effectively.
• Assessment of tensor representation in resident surveys was employed to enhance data clarity and interpretation.
• Highlights the potential of the proposed method for better insights into complex community issues, supporting effective decision-making.

Resumen