###### Multivariate

- Principal component analysis (PCA) is a multivariate statistical technique that can be used to extract features of variation from the data. (queensu.ca)
- To determine whether multivariate, functional principal component analysis of the size and shape of retinal pigment epithelial (RPE) cell morphology allows discrimination of mouse RPE genotypes and age. (arvojournals.org)

###### orthogonal

- that each principal component is orthogonal to one another. (coursera.org)
- In other words it discovers the largest principal component http://en.wikipedia.org/wiki/Principal_component of a set of mean-centred samples, along with the score (the magnitude of the principal component) for each sample, and the residual of each sample that is orthogonal to the principal component. (haskell.org)

###### cumulative variance

- The HRTF log-magnitude is the most used format of input data to the PCA, but it has been shown that if the input data is HRTF linear magnitude, the cumulative variance converges faster, and the mean square error (MSE) is smaller. (sciendo.com)
- This study demonstrates that PCA applied directly on HRTF complex values is even better than the two formats mentioned above, that is, the MSE is the smallest and the cumulative variance converges faster after the 8th principal component. (sciendo.com)
- To show a plot of the cumulative variance explained by each principal component, select the Scree plot check box. (analyse-it.com)

###### variance

- BREEBAART J. (2013), Effect of perceptually irrelevant variance in head related transfer functions on principal component analysis , J. Acoust. (sciendo.com)
- the direction and magnitude of where we have the most variance in our data. (coursera.org)

###### retinal

- A retinal image has blood vessels, optic disc, fovea, and so forth as the main components of an image. (hindawi.com)
- This paper presents an extension of the application of principal component analysis (PCA) to retinal images. (hindawi.com)
- Knowledge of the optic disc location and its diameter is important in the automatic analysis of retinal images. (hindawi.com)

###### statistical analysis

- The powerful statistical analysis you'd expect from an expensive statistics package. (analyse-it.com)

###### quantify

- The findings show that the principal component analysis technique is able to effectively classify and quantify the movements of yield curves across both markets in terms of three main factors, namely level, slope and curvature shifts. (scielo.org.za)
- Principal component analysis (PCA) is a common approach considered to not only classify and quantify these yield curve movements but also to further manage the risk arising from groups of highly correlated market variables. (scielo.org.za)
- We have used Principal Component Analysis in a variety of applications to quantify differences in gait patterns. (queensu.ca)

###### neural

- the dopamine (da) system is an essential component of the neural circuits that mediate cognitive and executive functions. (physiology.org)

###### mean

- Principal component analysis on these data reveals variation in magnitude (mean level of the waveform) and amplitude (range of motion), and these are the first two features of variation (or principal components). (queensu.ca)
- The mean magnitude of deceleration was significantly higher in largemouth bass (-1089 cm s -2 ) than bluegill (-235 cm s -2 ), and the timing of maximum deceleration was much later for largemouth bass (30.3 ms after maximum gape) than bluegill (6.7 ms after maximum gape). (biologists.org)

###### eigenvector

- In both cases, components are generated by an eigenvector decomposition of the matrix formed from the sum of substitution matrix scores at each aligned position between each pair of sequences - computed with one of the available score matrices, such as BLOSUM62 , PAM250 , or the simple single nucleotide substitution matrix . (jalview.org)
- Initially, the display shows the first three components of the similarity space, but any eigenvector can be used by changing the selected dimension for the x, y, or z axis through each ones menu located below the 3d display. (jalview.org)

###### technique

- In simple terms, the technique takes historical data on changes in market variables and attempts to define a set of uncorrelated components or factors that can effectively explain these movements in the most economical manner (Hull 2012). (scielo.org.za)
- Principal components analysis is a technique for examining the structure of complex data sets. (jalview.org)
- Principal component analysis (PCA) is a powerful statistical technique that can be used to identify patterns in data of high dimensions. (hindawi.com)

###### score

- Individual waveforms are associated with a score for each of the extracted features, or principal components. (queensu.ca)

###### data-sets

- hmatrix-nipals: NIPALS method for Principal Components Analysis on large data-sets. (haskell.org)

###### scores

- In this way the waveform data is transformed into a new set of principal component scores. (queensu.ca)

###### second

- By repeating the procedure on the residuals, the second principal component is found, and so on. (haskell.org)
- Second order statistical texture analysis is performed on the acquired images using GLCM method and a set of 12 features are derived. (springer.com)

###### image

- The File menu allows the view to be saved ( File→Save submenu) as an EPS or PNG image or printed, and the original alignment data and matrix resulting from its PCA analysis to be retrieved. (jalview.org)
- Twenty-one morphometric measurements were made on tiled, composite images of complete flatmounts, including cell location, area, and eccentricity, using automated image analysis software for quantitatively measuring cell phenotypes. (arvojournals.org)

###### Different

- it's now being defined by our different principal components. (coursera.org)

###### powerful

- This course will teach you how to perform data analysis using MongoDB's powerful Aggregation Framework. (coursera.org)

###### method

- In this work, analysis of carotid plaque ultrasound images have been attempted using statistical method based on Gray Level Co-occurrence matrix (GLCM). (springer.com)
- It appears that, during diagnosis this method of texture analysis could be useful to develop an automated system for characterisation and classification of carotid ultrasound images. (springer.com)

###### features

- Principal Component Analysis (PCA) is employed to reduce features used for classifying normal and abnormal images to four which had maximum magnitude in the first principal component. (springer.com)

###### faster

- However, largemouth bass protracted their pectoral fins more and faster, likely contributing to the greater magnitude of deceleration in the species. (biologists.org)

###### images

- For pattern recognition problems, some training images are stored in principal component form. (hindawi.com)

###### Values

- The components are a set of dimensions formed from the measured values in the data set, and the principal component is the one with the greatest magnitude, or length. (jalview.org)

###### perform

- Jalview can perform PCA analysis on both proteins and nucleotide sequence alignments. (jalview.org)

###### area

- The ventral tegmental area (VTA) and substantia nigra (SN) are the principal regions of the ventral midbrain containing DA neurons. (physiology.org)
- Aspect ratio and cell area gave rise to principal components that predictively classified mouse age and genotype. (arvojournals.org)

###### complete

- The advantage of NIPALS over more traditional methods, like SVD, is that it is memory efficient, and can complete early if only a small number of principal components are needed. (haskell.org)

###### Techniques

- Principal component analysis (PCA) is one of the techniques that have been applied to segment the optic disc, but only a limited work has been reported. (hindawi.com)

###### space

- across the space around our first component. (coursera.org)
- The coordinates for the whole PCA space, or just the current view may also be exported as CSV files for visualization in another program or further analysis. (jalview.org)

###### African

- The principal settings for the study were the United States and South African markets representing, respectively, a developed and developing market. (scielo.org.za)