Clustering technology has received a lot of concern in many areas such as engineering, medicine, biology and data mining. Collecting data points is the purpose of clustering and the most common clustering technology is K-means algorithm. However, results of kmeans depend on the initial state and convergence to a local optimum is also its drawback. To overcome these drawbacks, many studies have ...

The K-means algorithm is a popular data-clustering algorithm. However, one of its drawbacks is the requirement for the number of clusters, K, to be specified before the algorithm is applied. This paper first reviews existing methods for selecting the number of clusters for the algorithm. Factors that affect this selection are then discussed and a new measure to assist the selection is proposed....

Clustering of objects is an important area of research and application in variety of fields. In this paper we present a good technique for data clustering and application of this Technique for data clustering in a closed area. We compare this method with K-nearest neighbor and K-means.  

Medical datasets hold huge number of records about the patients, the doctors and the diseases. The extraction of useful information which will provide knowledge in decision making process for the diagnosis and treatment of the diseases are becoming increasingly determinant. Knowledge Discovery and data mining make use of Artificial Intelligence (AI) algorithms which are applied to discover hidd...

The evolution of computing technology and the ever increasing size and variety of data sets have created a new range of problems and challenges for data analysts, as well as new opportunities for intelligent systems in data analysis. This study concentrates on performing experimental analysis to find regression base outlier and influential point using two standard algorithms for data clustering...

An approach for the integration of supervising information into unsupervised clustering is presented (semi supervised learning). The underlying unsupervised clustering algorithm is based on swarm technologies from the field of Artificial Life systems. Its basic elements are autonomous agents called Databots. Their unsupervised movement patterns correspond to structural features of a high dimens...

Penyakit jantung adalah kondisi dimana sebagai organ vital manusia mengalami gangguan dan tidak berfungsi dengan baik merupakan penyakit yang paling mematikan di dunia serta menjadi penyebab utama kematian secara global, total sekitar 17,9 juta jiwa per tahunnya. Pada penelitian ini dilakukan pengelompokkan data pasien terdiagnosis untuk melihat karakteristik persamaan dari setiap pasien. Datas...