A Survey and Systematic Categorization of Parallel K-Means and Fuzzy-C-Means Algorithms

Comparative Analysis of Parallel K Means and Parallel Fuzzy C Means Cluster Algorithms

In this paper, we give a short review of recent developments in clustering. Clustering is the process of grouping of data, where the grouping is established by finding similarities between data based on their characteristics. Such groups are termed as Clusters. Clustering is a procedure to organizing the objects into groups or clustered together, based on the principle of maximizing the intra-c...

Comparative Analysis of K-Means and Fuzzy C-Means Algorithms

In the arena of software, data mining technology has been considered as useful means for identifying patterns and trends of large volume of data. This approach is basically used to extract the unknown pattern from the large set of data for business as well as real time applications. It is a computational intelligence discipline which has emerged as a valuable tool for data analysis, new knowled...

Segmentation of Photospheric Solar Images by Using c-Means,k-Means, and FCM Algorithms

segmentation of photospheric solar images by using c-means,k-means, and fcm algorithms

Comparison of K-Means and Fuzzy C-Means Algorithms on Different Cluster Structures

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...