Here we describe the Bibliometric Indicators for Publishers Project, an initiative undertaken by EC3Metrics SL for the analysis and development of indicators based on books and book chapters. Its goal is to study and analyze the publication and citation patterns of books and book chapters considering academic publishers as the unit of analysis. It aims at developing new methodologies and indica...

K-means is an effective clustering technique used to separate similar data into groups based on initial centroids of clusters. In this paper, Normalization based K-means clustering algorithm(N-K means) is proposed. Proposed N-K means clustering algorithm applies normalization prior to clustering on the available data as well as the proposed approach calculates initial centroids based on weights...

When comparing time series, z-normalization preprocessing and dynamic time warping (DTW) distance became almost standard procedure. This paper makes a point against carelessly using this setup by discussing implications and alternatives. A (conceptually) simpler distance measure is proposed that allows for a linear transformation of amplitude and time only, but is also open for other normalizat...

This paper presents a novel approach to speech data normalization by introducing interpolation for histogram equalization. We study different ways of histogram interpolation that inhence this normalization technique. We found that using a special weighting factor to combine current and past test sentence statistics improved speech recognition performance. For the testing that used weighted hist...

The measurements of coordinated patterns of protein abundance using antibody microarrays could be used to gain insight into disease biology and to probe the use of combinations of proteins for disease classification. The correct use and interpretation of antibody microarray data requires proper normalization of the data, which has not yet been systematically studied. Therefore we undertook a st...

The goal of this paper is to investigate the effects of normalization procedures for expression data on linkage results. We selected the two most commonly used expression data extraction and normalization methods, Affymetrix global scaling and dChip invariant. After applying these two methods in 3554 expression phenotypes, we identified 45 phenotypes that were more likely to be genetic for eith...

In this paper, we discuss the design of a data normalization system that we term commonality factoring. A real-world implementation of a storage system based upon data normalization requires design of the data normalization itself, of the storage repository for the data, and of the protocols to be used between applications performing data normalization and the server software of the repository....