S. No | Methodology in Proposed System | Short Description | Advantage |
1. | Agglomeration | ・ Every data objectis is assigned to cluster only once. ・ No reallocation. | Fast merging with time complexity O(N2) |
2. | Exact Similarity Measure & No Approximation | ・ Outliers are eliminated automatically during agglomeration. ・ Elimination of noise | Improvement in cluster validity index value |
3. | Preprocessing | ・ Uninteresting transactions are ・ eliminated. ・ Deviation in knowledge extraction is constrained. | Interesting patterns are identified |
4. | Threshold | ・ Setting proper threshold removes ・ distant objects | Improvement in cluster validity |
5. | Merging Closest Pair | ・ Merge step ends automatically. Therefore no need to predefine k | No need to specify number of clusters |