Research Article
Nonnegative Matrix Factorization-Based Spatial-Temporal Clustering for Multiple Sensor Data Streams
| Input: Matrices , , , , and , cluster number , and maximum iteration | | Output: Matrices , , , and | | (1) use the family of Colibri methods to get | | (2) determine cluster number | | (3) initialize , , and using , , and , respectively | | (4) if we need to form a new partition | | (5) go to (8) | | (6) else | | (7) let and , and return | | (8) while not converging and do | | (9) update by (9) | | (10) update by (10) | | (11) update by (11) | | (12) update by (12) | | (13) end while | | (14) return , , , and |
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