Data clustering is the process of partitioning a set of data objects into meaning clusters or groups. Due to the vast usage of clustering algorithms in many fields, a lot of research is still going on to find the best and efficient clustering algorithm. K-means is simple and easy to implement, but it suffers from initialization of cluster center and hence trapped in local optimum. In this paper...

In this paper the K-means (KM) and the Fuzzy C-means (FCM) algorithms were compared for their computing performance and clustering accuracy on different shaped cluster structures which are regularly and irregularly scattered in two dimensional space. While the accuracy of the KM with single pass was lower than those of the FCM, the KM with multiple starts showed nearly the same clustering accur...

an experiment was conducted to study the effects of different concentrations of silver thiosulfate (sts) (0.25, 0.5, 1 and 2 mm), sucrose (2.5, 5, 7.5 and 10 %), humic acid (100, 500, 1000, 5000 and 10000 ppm) and banzyl adenine (5, 10, 20 and 40 ppm) on vaselife of cut ‘tempo’ carnation flowers. the experiment was arranged in a compeletly randomized design. the results of means comparison indi...