BACKGROUND Wastewater-based epidemiology (WBE) is a novel approach in drug use epidemiology which aims to monitor the extent of use of various drugs in a community. In this study, we investigate functional principal component analysis (FPCA) as a tool for analysing WBE data and compare it to traditional principal component analysis (PCA) and to wavelet principal component analysis (WPCA) which ...

The widely adopted K-means clustering algorithm uses a sum of squared error objective function. A detailed analysis shows the close relationship between K-means clustering and principal component analysis (PCA) which is extensively utilized in unsupervised dimension reduction. We prove that the continuous solutions of the discrete K-means clustering membership indicators are the data projection...

Principal Component Analysis (PCA) is very sensitive in presence of outliers. One of the most appealing robust methods for principal component analysis uses the Projection-Pursuit principle. Here, one projects the data on a lower-dimensional space such that a robust measure of variance of the projected data will be maximized. The Projection-Pursuit based method for principal component analysis ...

Principal component analysis (PCA) is one of the most commonly adopted feature reduction techniques in remote sensing image analysis. However, it may overlook subtle but useful information if directly applied to the analysis of hyperspectral data, especially for the discrimination among different vegetation types. In order to accurately map an invasive plant species (horse tamarind, Leucaena le...

introduction: the objective of the study was to develop an instrument to measure patient education content. materials and methods: first of all, literature searches were undertaken to determine current national and international patient education questionnaires. then a forty five item questionnaire was developed. questionnaires were filled by 399 patients in surgery wards of kerman medical hosp...

The fact that the Photoplethysmograph (PPG) signal caries respiratory information in addition to arterial blood oxygen saturation attracted the researchers to extract the respiratory information from it. In this current work, we present an efficient algorithm, based on the multi scale principal component analysis (MSPCA) technique to extract the respiratory activity from the PPG signals. MSPCA ...

inter- and intra-population variations of a recently described endemic cyprinid fish alburnoides qanati coad and bogutskaya, 2009 collected from three localities in the kor river basin, iran, were studied by applying morphometric and meristic characters using canonical discriminate function analysis (dfa), principal component analysis (pca) and cluster analysis (ca). in dfa, the overall random ...