A cluster-based approach to selecting representative stimuli from the International Affective Picture System (IAPS) database

[1]  Sam J. Maglio,et al.  Emotional category data on images from the international affective picture system , 2005, Behavior research methods.

[2]  Adrian E. Raftery,et al.  Model-Based Clustering, Discriminant Analysis, and Density Estimation , 2002 .

[3]  Daniel Grühn,et al.  Age-related differences in valence and arousal ratings of pictures from the International Affective Picture System (IAPS): Do ratings become more extreme with age? , 2008, Behavior research methods.

[4]  Patricia A Reuter-Lorenz,et al.  Divergent trajectories in the aging mind: changes in working memory for affective versus visual information with age. , 2005, Psychology and aging.

[5]  Albin Sandelin,et al.  GMD: measuring the distance between histograms with applications on high-throughput sequencing reads , 2012, Bioinform..

[6]  Charles Elkan,et al.  Expectation Maximization Algorithm , 2010, Encyclopedia of Machine Learning.

[7]  Antonio Verdejo-García,et al.  Experience of emotions in substance abusers exposed to images containing neutral, positive, and negative affective stimuli. , 2005, Drug and alcohol dependence.

[8]  Peter J. Lang,et al.  Eliciting Affect Using the International Affective Picture System: Trajectories through Evaluative Space , 1998 .

[9]  Xiaoyi Gao,et al.  Human population structure detection via multilocus genotype clustering , 2007, BMC Genetics.

[10]  Jin Fan,et al.  Neural correlates of using distancing to regulate emotional responses to social situations , 2010, Neuropsychologia.

[11]  M. Bates,et al.  Finding groups using model-based cluster analysis: heterogeneous emotional self-regulatory processes and heavy alcohol use risk. , 2008, Developmental psychology.

[12]  Ashok N. Srivastava,et al.  Data Mining: Concepts, Models, Methods, and Algorithms , 2005, J. Comput. Inf. Sci. Eng..

[13]  A. Mehrabian Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in Temperament , 1996 .

[14]  Chrysa D. Lithari,et al.  Are Females More Responsive to Emotional Stimuli? A Neurophysiological Study Across Arousal and Valence Dimensions , 2009, Brain Topography.

[15]  Christophe Ley,et al.  Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median , 2013 .

[16]  T. Caliński,et al.  A dendrite method for cluster analysis , 1974 .

[17]  Lisa Feldman Barrett,et al.  What You Feel Influences What You See: The Role of Affective Feelings in Resolving Binocular Rivalry. , 2011, Journal of experimental social psychology.

[18]  Pierre Legendre,et al.  Numerical Ecology with R , 2011 .

[19]  Naomi B. Pitskel,et al.  Three Systems of Insular Functional Connectivity Identified with Cluster Analysis , 2010, Cerebral cortex.

[20]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[21]  Tomi Kinnunen,et al.  Improving K-Means by Outlier Removal , 2005, SCIA.

[22]  Moshe Eizenman,et al.  A naturalistic visual scanning approach to assess selective attention in major depressive disorder , 2003, Psychiatry Research.

[23]  Junjie Wu,et al.  Advances in K-means Clustering , 2012, Springer Theses.

[24]  P. Lang International affective picture system (IAPS) : affective ratings of pictures and instruction manual , 2005 .

[25]  D. Isaacowitz,et al.  Aiming at Happiness: How Motivation Affects Attention to and Memory for Emotional Images , 2006 .

[26]  John M Hoffman,et al.  Ecstasy and Agony: Activation of the Human Amygdala in Positive and Negative Emotion , 2002, Psychological science.

[27]  J. Russell,et al.  Evidence for a three-factor theory of emotions , 1977 .

[28]  Junjie Wu,et al.  Advances in K-means clustering: a data mining thinking , 2012 .

[29]  Geoffrey H. Ball,et al.  ISODATA, A NOVEL METHOD OF DATA ANALYSIS AND PATTERN CLASSIFICATION , 1965 .

[30]  J. Eccles The emotional brain. , 1980, Bulletin et memoires de l'Academie royale de medecine de Belgique.

[31]  Christopher J Patrick,et al.  Effects of picture content and intensity on affective physiological response. , 2006, Psychophysiology.

[32]  Lisa F. Barrett,et al.  How does this make you feel? A comparison of four affect induction procedures , 2014, Front. Psychol..

[33]  Marika Berchicci,et al.  Getting ready for an emotion: specific premotor brain activities for self-administered emotional pictures , 2014, Front. Behav. Neurosci..

[34]  M. Bradley,et al.  Measuring emotion: the Self-Assessment Manikin and the Semantic Differential. , 1994, Journal of behavior therapy and experimental psychiatry.

[35]  T. A. Williams,et al.  Technology in mental health care delivery systems , 1980 .

[36]  K. Scherer,et al.  Spatial frequencies or emotional effects? A systematic measure of spatial frequencies for IAPS pictures by a discrete wavelet analysis , 2007, Journal of Neuroscience Methods.

[37]  Kurt Hornik,et al.  A CLUE for CLUster Ensembles , 2005 .

[38]  J. MacQueen Some methods for classification and analysis of multivariate observations , 1967 .

[39]  Vincent Kanade,et al.  Clustering Algorithms , 2021, Wireless RF Energy Transfer in the Massive IoT Era.

[40]  S. Dolnicar,et al.  An examination of indexes for determining the number of clusters in binary data sets , 2002, Psychometrika.

[41]  M. Bradley,et al.  The International Affective Picture System (IAPS) in the study of emotion and attention. , 2007 .

[42]  M. Meilă Comparing clusterings---an information based distance , 2007 .

[43]  D. Edwards Data Mining: Concepts, Models, Methods, and Algorithms , 2003 .

[44]  Adrian E. Raftery,et al.  MCLUST Version 3: An R Package for Normal Mixture Modeling and Model-Based Clustering , 2006 .

[45]  Marcin Kozak,et al.  “A Dendrite Method for Cluster Analysis” by Caliński and Harabasz: A Classical Work that is Far Too Often Incorrectly Cited , 2012 .

[46]  Ali S. Hadi,et al.  Finding Groups in Data: An Introduction to Chster Analysis , 1991 .

[47]  M. Bradley,et al.  Neuroanatomical correlates of pleasant and unpleasant emotion , 1997, Neuropsychologia.

[48]  S. Dolnicar,et al.  A Tale of Three Cities: Perceptual Charting for Analyzing Destination Imagess , 1998 .

[49]  Anil K. Jain Data clustering: 50 years beyond K-means , 2008, Pattern Recognit. Lett..

[50]  J. A. Hartigan,et al.  A k-means clustering algorithm , 1979 .

[51]  Peter J Beek,et al.  Effects of affective picture viewing on postural control , 2007, BMC Neuroscience.

[52]  R. Rosenthal,et al.  Statistical power: concepts, procedures, and applications. , 1996, Behaviour research and therapy.

[53]  Myra A. Fernandes,et al.  Personal relevance modulates the positivity bias in recall of emotional pictures in older adults , 2008, Psychonomic bulletin & review.

[54]  M. Cugmas,et al.  On comparing partitions , 2015 .

[55]  T. Blumenthal,et al.  Emotional reactivity in nonsuicidal self-injury: divergence between self-report and startle measures. , 2011, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[56]  D. Watson,et al.  Development and validation of brief measures of positive and negative affect: the PANAS scales. , 1988, Journal of personality and social psychology.

[57]  Marvin M. Chun,et al.  Attentional rubbernecking: Cognitive control and personality in emotion-induced blindness , 2005, Psychonomic bulletin & review.

[58]  Mehmed Kantardzic,et al.  Data Mining: Concepts, Models, Methods, and Algorithms , 2002 .