| Input: Extracted Clusters , newdata: data |
| Output: Extracted Clusters , Visualization of Clusters, Recommendations to users. |
| Steps: |
| () REPEAT |
| () Map each cluster centroid as Lake and define . //Now N Lakes |
| () If data is not assigned an agent |
| () Then map agent to data // represents the bluegill. |
| () Else |
| () Identify the agent corresponding to data |
| () End if |
| () FOR |
| () IF Sim(agent, Lake) > Maxth where the ranges from 1 to //bluegill enters the lake containing high density of prey |
| and identifies neighboring preys |
| () Repeat |
| () If Sim(agent, neighbor_agent) high_ range //bluegill eats large size prey |
| () Then Eat neighbor_agent |
| () nosh = Sim(agent, neighbor_agent) |
| () Update energy = Sum(nosh) |
| () Increment by one |
| () Else |
| () Increment by one |
| () End if |
| () Until energy = 1 |
| () ELSE IF Sim(agent, Lake) < Minth where ranges from 1 to //bluegill enters the lake containing low density of preys |
| and identifies the neighboring preys |
| () Repeat |
| () If Sim(agent, neighbor_agent) high_range //blue gill eats large size prey |
| () Then Eat neighbor_agent |
| () nosh = Sim(agent, neighbor_agent) |
| () Update energy = Sum(nosh) |
| () Increment by one |
| () Else |
| () Break; |
| () End if |
| () Until energy = 1 |
| () Repeat |
| () If Sim(agent, neighbor_agent) mid_range //blue gill eats medium size prey |
| () Then Eat neighbor_agent |
| () nosh = Sim(agent, neighbor_agent) |
| () Update energy = Sum(nosh) |
| () Increment by one |
| () Else |
| () Break; |
| () End if |
| () Until energy = 1 |
| () Repeat //blue gill eats small size prey |
| () Eat neighbor_agent |
| () nosh = Sim(agent, neighbor_agent) |
| () Update energy = Sum(nosh) |
| () Increment by one |
| () Until energy = 1 |
| () ELSE //bluegill enters a lake containing medium density of prey and identifies neighboring preys |
| () Repeat |
| () If Sim(agent, neighbor_agent) high_range //blue gill eats large size prey |
| () Then Eat neighbor_agent |
| () nosh = Sim(agent, neighbor_agent) |
| () Update energy = Sum(nosh) |
| () Increment by one |
| () Else |
| () Break; |
| () End if |
| () Until energy = 1 |
| () Repeat |
| () If Sim(agent, neighbor_agent) mid_range //blue gill eats medium size prey |
| () Then Eat neighbor_agent |
| () nosh = Sim(agent, neighbor_agent) |
| () Update energy = Sum(nosh) |
| () Increment by one |
| () Else |
| () Break; |
| () End if |
| () Until energy = 1 |
| () END IF |
| () END FOR |
| () Keep the clusters with Clus_threshold sessions. |
| () Plot Clusters on visualization panel according to cluster names //visualize clusters in x, y coordinates where different |
| cluster elements are represented in different shapes. |
| () For each cluster do |
| () Find the URL’s which are visited more than Url_count_threshold in all the sessions of that cluster //display URLs |
| accessed frequently in all the sessions of that cluster as user profiles |
| () End For |
| () For each agent agent do |
| () Find the cluster to which agent belongs. |
| () = agents of agent in cluster within distance |
| () = preferred items by each agents in |
| () Recommend most frequent items in to user represented by agent |
| () End For |
| () UNTIL there is no more data records |
| () End |
