Estimating the Concrete Compressive Strength Using Hard Clustering and Fuzzy Clustering Based Regression Techniques

Algorithm 3

Estimation of Concrete Compressive Strength Using Cluster Regression.

Input: : the number of clusters, : a data set containing objects of Concrete.

Output: Compressive Strength of Concrete.

Method:

                     (1) Prepare the concrete dataset as input to the algorithm.

                     (2) Apply clustering algorithm on to create the clusters of concrete data;

                     (3) For each cluster , apply the regression technique on the cluster data and generate the

                              relationship between the concrete compressive strength and other data elements.

                     (4) For predicting (estimating) the compressive strength of any concrete sample:

                              (a) Map the sample concrete data to the appropriate cluster .

                              (b) Apply the formula for the appropriate cluster where that sample is belonging.

                              (c) Calculate the errors in prediction (estimation) using MAE and RMSE.

                     (5) Calculate the overall weighted prediction errors MAE and RMSE.