Mengingat pentingnya keberadaan kantor Otoritas Jasa Keuangan (OJK) untuk mendukung perekonomian di wilayah Sumatera Utara, maka perlu adanya penambahan lokasi baru. Penelitian ini, bertujuan memperoleh hasil penentuan baru OJK Provinsi Utara dengan menerapkan dua metode Analisis Klaster, yaitu Fuzzy C-Means (FCM) dan Gustafson-Kessel (FGK), yang secara umum merupakan suatu teknik pengelompokan...

The performance of clustering algorithms for image segmentation are highly sensitive to the features used and types of objects in the image, which ultimately limits their generalization capability. This provides strong motivation to investigate integrating shape information into the clustering framework to improve the generality of these algorithms. Existing shape-based clustering techniques ma...

This paper analyses a multi-compressor system for its performance failures and subsequent improvements. The logbook data of this system has been obtained. Data has been classified using various state-of-art data classification techniques. This paper presents a comparative analysis of Fuzzy clustering algorithm, Hard-c-means clustering and Gustafson-Kessel clustering algorithm. Data clustering e...

Methods for supervised and unsupervised clustering and machine learning were studied in order to automatically model relationships between gene expression data and gene functions of the microorganism Escherichia coli. From a pre-selected subset of 265 genes (belonging to 3 functional groups) the function has been predicted with an accuracy higher than 50 % by various data mining methods describ...

Diiculties in computing the posterior distribution of a covariance matrix when using nonconjugate priors has been discussed by several authors. Typically, the posterior distribution for the covariance matrix is computed via the Gibbs sampler and when using a Wishart prior for the inverse of the covariance matrix, one obtains conditional conjugacy (the full conditional distribution of the invers...

Fuzzy logic is an organized and mathematical method of handling inherently imprecise concepts through the use of membership functions, which allows membership with a certain degree. It has found application in numerous problem domains. It has been used in the interval [0, 1] fuzzy clustering, in pattern recognition and in other domains. In this paper, we introduce fuzzy logic, fuzzy clustering ...

this assumption is correct, it would be interesting to investigate the extent to which hypertension contributes to atrophy, increases the likelihood of conversion from mild cognitive impairment to fullblown AD, or complicates the course of established AD. In line with this assumption, it is important that some observational studies have reported that use of antihypertensives decreases the risk ...

Abstract. In this article, we derive some identities for multilateral basic hypergeometric series associated to the root system An. First, we apply Ismail’s [15] argument to an An q-binomial theorem of Milne [25, Th. 5.42] and derive a new An generalization of Ramanujan’s 1ψ1 summation theorem. From this new An 1ψ1 summation and from an An 1ψ1 summation of Gustafson [9] we deduce two lemmas for...

The material handling systems are one of the key components of the most modern manufacturing systems. The sensory signals of material handling systems are nonlinear and have unique characteristics. It is very difficult to encode and classify these signals by using multipurpose methods. In this study, performances of multiple generic methods were studied for the diagnostic of the pneumatic syste...

Two extensions to the objective function-based fuzzy clustering are proposed. First, the (point) prototypes are extended to hypervolumes, whose size can be fixed or can be determined automatically from the data being clustered. It is shown that clustering with hypervolume prototypes can be formulated as the minimization of an objective function. Second, a heuristic cluster merging step is intro...