Novel Stacking Classification and Prediction Algorithm Based Ambient Assisted Living for Elderly

Algorithm 2

Novel Clustering Aggregation (NCA)

Input: Fall Detection Dataset (FDD)

Output: Assign each data instance to Majority Voted Cluster (MVC)

Step 1: Load Fall Detection Dataset with selected features

Step 2: Apply K-Means Clustering for FDD

Step 3: Apply EM Clustering for FDD

Step 4: Apply DBSCAN Clustering for FDD

Step 5: For each data instance DI from FDD

Step 6:   Result1 = Get the K-Means cluster result for DI

Step 7:   Result2 = Get the EM cluster result for DI

Step 8:   Result3 = Get the DBSCAN cluster result for DI

Step 9:   If(Result1 is equal to Result2), Then

Step 10:    MVC = Result2

Step 11:   Else If(Result1 is equal to Result3), Then

Step 12:    MVC = Result3

Step 13:   End if

Step 14: End For