Cluster-based information retrieval by using (K-means)-hierarchical parallel genetic algorithms approach

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

Effective Information Retrieval using Genetic Algorithms based Matching Functions Adaptation

Knowledge intensive organizations have vast array of information contained in large document repositories. With the advent of E-commerce and corporate intranets/extranets, these repositories are expected to grow at a fast pace. This explosive growth has led to huge, fragmented, and unstructured document collections. Although it has become easier to collect and store information in document coll...

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

Parallel Implementation of Genetic Algorithm using K-Means Clustering

-----------------------------------------------------------------ABSTRACT-------------------------------------------------------The existing clustering algorithm has a sequential execution of the data. The speed of the execution is very less and more time is taken for the execution of a single data. A new algorithm Parallel Implementation of Genetic Algorithm using KMeans Clustering (PIGAKM) is...