Leaders–Subleaders: An efficient hierarchical clustering algorithm for large data sets

Ensemble Neural Network in Classifying Handwritten Arabic Numerals

“…Table 3 shows the number of patterns classified correctly for each digit. Table 4 compares the accuracy of the proposed work with that of Ravindra Babu et al [7], Agrawal Monu et al, [4] and Vijaya et al, [19]. Compressed data in terms of runs [7] 92.47…”

“…Clustering technique with leader concept is used to group meaningful patterns so as to improve classification accuracy with minimum input-output operations. In this method [19], first pattern is treated as a cluster leader. Remaining patterns are compared with the leaders of existing clusters and is assigned to member of a cluster when leader is with minimum distance.…”

Clustered Distributed Index for Efficient Text Retrieval Using Threads

“…Leader's algorithm [4] is a very simple incremental developmental clustering algorithm. It requires only a single data base scan.…”

“…The search should also be cost effective and time effective. It is very important that the result obtained by the search query should be equivalent to what we are actually searching for [4].…”

Grid Fabrication of Traffic Maintenance System Clustering at Road Junctions

“…In this paper, for clustering of vehicles at nodes, the GFTMS-Clustering algorithm is proposed. This algorithm addresses step 1 of the proposed Grid Fabrication in [1] and it is a combination of Hierarchical clustering as the clustering is done through different levels and Leaders algorithm [11] as the number of clusters to be created cannot be decided prior. The number of clusters created depends purely on type, destination and priority of the vehicles considered.…”