Rapid development of the Internet has lead to the purchase of products based on the reviews provided by the web surfers. It is therefore extremely important to organize the reviews according to the topic. Commonly, this can be achieved by using clustering techniques. Research on document clustering which is an un-supervised from of learning process helps in organizing documents or text reviews ...

Clustering is a relevant problem in machine learning where the main goal is to locate meaningful partitions of unlabeled data. In the case of labeled data, a related problem is supervised clustering, where the objective is to locate classuniform clusters. Most current approaches to supervised clustering optimize a score related to cluster purity with respect to class labels. In particular, we p...

Clustering of non-homogenous documents has become an increasing challenge and opportunity with the huge proliferation of World Wide Web. It has become difficult to retrieve the desired information without proper clustering of Web-page with the increase in information on the WWW. Several new ideas have been proposed in recent years. Among them partitioning approach is still widely used clusterin...

This paper presents the review of various techniques which are used for clustering in data mining.Clustering is the process of dividing data into group of similar objects.Clustering involves various techniques so that the data can be partitioned into groups of same data like k-means algorithm, k-medoid, BIRCH algorithm, chameleon, CLIQUE algorithm, DBSCAN algorithm. In this paper, the overview ...

PAM (Partitioning around Medoid) is introduced to divide the swarm into several different subpopulations. PAM is one of k-medoids clustering algorithms based on partitioning methods. It attempts to divide n objects into k partitions. This algorithm overcomes the drawbacks of being sensitive to the initial partitions in kmeans algorithm. In the parallel PSO algorithms, the swarm needs to be divi...

Abstract The production of fish-based food processing has become a commodity for restaurants, catering and home consumption, but there are still many people who don’t know how fish can be processed in various dishes their daily needs. To find out to make dishes, the researchers provide solution cooking any kind food, starting from grouping types basic ingredients that must prepared, cook them, ...

This paper illustrates a method that identifies abnormal neurological events associated with acute brain injuries and seizures. The data is derived from intracortical electrodes that transmit EEG recordings that contain substantial amounts of noise. The output for the identification is specifically designed to be fed back into an artificial intelligence unit the authors have designed that predi...