A knowledge management system is more than an archive of textual documents; it provides context information, allowing to know which documents where used by people with a common goal. In the hypothesis that a set of textual documents with a common context can be assimilated to the long term memory of a human expert executor, we can use on them mining techniques inspired by the mechanic of human ...

This study was carried out on Italia grape variety (Vitis vinifera L.) in Konya province, Turkey in 2016. The cultivar is five years old and grown on 1103 Paulsen rootstock. It was determined the effects of applications of the Control (C), 1/3 Cluster Tip Reduction (1/3 CTR), 1/6 Cluster Tip Reduction (1/6 CTR), 1/9 Cluster Tip Reduction (1/9 CTR), 1/3 CTR+Boric Acid (BA), 1/6 CTR+BA, 1/9 CTR+B...

Azotobacter vinelandii (4Fe-4S)2 ferredoxin I (Fd I) is an electron transfer protein with Mr equals 14,500 and Eo equals -420 mv. It exhibits and EPR signal of g equals 2.01 in its isolated form. This resonance is almost identical with the signal that originates from a "super-oxidized" state of the 4Fe-4S cluster of potassium ferricyanide-treated Clostridium ferredoxin. A cluster that exhibits ...

This paper presents a spectral clustering method called correlation through preserving indexing (CPI), which is to perform in the correlation similarity measure space. The documents are considered into a low dimensional semantic space, the correlations between the documents in the local patches are maximized and correlations between the documents outside these patches are minimized. The intrins...

In the framework of unsupervised pattern analysis of gene expression, the high dimensionality of the data as well as the accuracy of clustering algorithms and the reliability of the discovered clusters are critical problems. We propose and analyze an algorithmic scheme for unsupervised cluster ensembles, where the dimensionality reduction is obtained by means of randomized embeddings with low d...

In functional data analysis, curves or surfaces are observed, up to measurement error, at a finite set of locations, for, say, a sample of n individuals. Often, the curves are homogeneous, except perhaps for individual-specific regions that provide heterogeneous behaviour (e.g. ‘damaged’ areas of irregular shape on an otherwise smooth surface). Motivated by applications with functional data of ...

In the manifold learning community there has been an onus on the simultaneous clustering and embedding of multiple manifolds. Manifold clustering and embedding algorithms perform especially poorly when embedding highly nonlinear manifolds. In this paper we propose a novel algorithm for improved manifold clustering and embedding. Since a majority of these algorithms are graph based they use diff...

Spectral techniques, off late, have been in limelight in the machine learning community and has drawn attention of many serious machine learners. They are being used in a variety of applications like gene clustering, document analysis, image segmentation, dimensionality reduction etc. They are very simple to understand and provide highly accurate results even for difficult clustering problems. ...

This study was conducted Razakı grape variety (Vitis vinifera L.) and its vine which was aged 19 was grown on 5 BB rootstock in a vegetation period of 2014 in Afyon province in Turkey. In this research, it was investigated whether the applications of Control (C), 1/3 Cluster Tip Reduction (1/3 CTR), Shoot Tip Reduction (STR), 1/3 CTR + STR, Boric Acid (BA), 1/3 CTR + BA, STR + BA, 1/3 CTR + STR...

Contemporary scientific studies frequently rely on data-intensive analytical computing. While the main goal of this emerging form of computing is to facilitate hypothesis formulation or to test the validity of a postulated model, its primary method is usually that of data clustering. Since typical analytical tasks operate on very large volumes of potentially highdimensional data, scientific stu...