Partitional clustering of categorical data is normally performed by using K-modes clustering algorithm, which works well for large datasets. Even though the design and implementation of K-modes algorithm is simple and efficient, it has the pitfall of randomly choosing the initial cluster centers for invoking every new execution that may lead to non-repeatable clustering results. This paper addr...

By use of semantic attributes of 3D object, the user can search for targeted objects, which main advantage is that it does not require the user to sketch a 3D object as the query for 3D object retrieval, and the retrieval system can obtain a better retrieval performance. There are many categorical datum among these attributes, and how to use those and find the most similar objects is a vital pr...

Cluster analysis is an important technique used in data mining. Categorical data clustering has received a great deal of attention in recent years. Some existing algorithms for clustering categorical data do not consider the importance of attributes for clustering, thereby reducing the efficiency of clustering analysis and limiting its application. In this paper, we propose a novel rough k-mode...

Many optimization based clustering algorithms suffer from the possibility of stopping at locally optimal partitions of data sets. In this paper, we present a genetic k-Modes algorithm(GKMODE) that finds a globally optimal partition of a given categorical data set into a specified number of clusters. We introduce a k-Modes operator in place of the normal crossover operator. Our analysis shows th...

The collective-mode spectrum of a multicomponent magnetized ionic mixture for small wave number k is studied with the use of magnetohydrodynamics and formal kinetic theory. Apart from the usual thermal and diffusive modes, the spectrum contains a set of four oscillating modes. By evaluating the k contributions to the eigenfrequencies, the damping and the dispersion of these oscillating modes ar...

We investigate the locality or nonlocality of the energy transfer and the spectral interactions involved in the cascade for decaying magnetohydrodynamic (MHD) flows in the presence of a uniform magnetic field B at various intensities. The results are based on a detailed analysis of three-dimensional numerical flows at moderate Reynolds numbers. The energy transfer functions, as well as the glob...

Utilizing an eigenfunction decomposition, we study the growth and spectra of energy in the vortical (geostrophic) and wave (ageostrophic) modes of a three-dimensional (3D) rotating stratified fluid as a function of dispersion, i.e. of ǫ = f/N , where f,N are the Coriolis parameter and Brunt-Vaisala frequency. Throughout we employ a random large scale forcing in a unit aspect ratio domain and se...

I discuss CLEO-c opportunities in Dalitz plot analyzes with the data samples available now and projected by the end of CESR-c run. Using 281 pb−1 of e+e− collisions at mass of ψ(3770) we present results of the Dalitz plot analysis of D → π−π+π+. Using the CLEO-c and CLEO III samples of 5 pb−1, accrued at mass of ψ(2S), we study three body decays of χcJ produced in the radiative decay ψ(2S) → γχ...

Serpersu and Tsong (Sepersu, E. H., and Tsong, T. Y. (1983) J. Membr. Biol. 74, 191-201; (1984) J. Biol. Chem. 259, 7155-7162) reported activation of a K+ pumping mode of (Na,K)-ATPase by an oscillating electric field (20 V/cm, 1.0 kHz). Their attempts to activate Na+ pumping at the same frequency were unsuccessful. We report here activation of a Na+ pumping mode with an oscillating electric fi...