An influence power-based clustering approach with PageRank-like model

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

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

[3]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[4]  J. Bezdek,et al.  FCM: The fuzzy c-means clustering algorithm , 1984 .

[5]  P. Rousseeuw.  Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .

[6]  Peter J. Rousseeuw,et al.  Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .

[7]  Andrew B. Kahng,et al.  New spectral methods for ratio cut partitioning and clustering , 1991, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[8]  Gérard Govaert,et al.  Gaussian parsimonious clustering models , 1995, Pattern Recognit..

[9]  Sergey Brin,et al.  The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.

[10]  Bernhard Schölkopf,et al.  Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.

[11]  Andrew W. Moore,et al.  Accelerating exact k-means algorithms with geometric reasoning , 1999, KDD '99.

[12]  Anil K. Jain,et al.  Data clustering: a review , 1999, CSUR.

[13]  Rajeev Motwani,et al.  The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.

[14]  Jitendra Malik,et al.  Normalized Cuts and Image Segmentation , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  Andrew W. Moore,et al.  X-means: Extending K-means with Efficient Estimation of the Number of Clusters , 2000, ICML.

[16]  Mikhail Belkin,et al.  Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering , 2001, NIPS.

[17]  Michael I. Jordan,et al.  On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.

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

[19]  Jon M. Kleinberg,et al.  An Impossibility Theorem for Clustering , 2002, NIPS.

[20]  John D. Storey.  A direct approach to false discovery rates , 2002 .

[21]  D.M. Mount,et al.  An Efficient k-Means Clustering Algorithm: Analysis and Implementation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[22]  Joydeep Ghosh,et al.  Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions , 2002, J. Mach. Learn. Res..

[23]  Ujjwal Maulik,et al.  Performance Evaluation of Some Clustering Algorithms and Validity Indices , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[24]  Carl D. Meyer,et al.  Deeper Inside PageRank , 2004, Internet Math..

[25]  Lawrence O. Hall,et al.  Fast Accurate Fuzzy Clustering through Data Reduction , 2003 .

[26]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[27]  Martin Vingron,et al.  IntAct: an open source molecular interaction database , 2004, Nucleic Acids Res..

[28]  Inderjit S. Dhillon,et al.  Kernel k-means: spectral clustering and normalized cuts , 2004, KDD.

[29]  Rui Xu,et al.  Survey of clustering algorithms , 2005, IEEE Transactions on Neural Networks.

[30]  Aristides Gionis,et al.  Clustering aggregation , 2005, 21st International Conference on Data Engineering (ICDE'05).

[31]  Limin Fu,et al.  FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data , 2007, BMC Bioinformatics.

[32]  Wei Li,et al.  Pachinko allocation: DAG-structured mixture models of topic correlations , 2006, ICML.

[33]  Marcello Pelillo,et al.  Dominant Sets and Pairwise Clustering , 2007 .

[34]  Jianhong Wu,et al.  Data clustering - theory, algorithms, and applications , 2007 .

[35]  Andries Petrus Engelbrecht,et al.  An overview of clustering methods , 2007, Intell. Data Anal..

[36]  Delbert Dueck,et al.  Clustering by Passing Messages Between Data Points , 2007, Science.

[37]  Dit-Yan Yeung,et al.  Robust path-based spectral clustering , 2008, Pattern Recognit..

[38]  Anil K. Jain.  Data clustering: 50 years beyond K-means , 2010, Pattern Recognit. Lett..

[39]  Xiangliang Zhang,et al.  K-AP: Generating Specified K Clusters by Efficient Affinity Propagation , 2010, 2010 IEEE International Conference on Data Mining.

[40]  Alexandros Nanopoulos,et al.  Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data , 2010, J. Mach. Learn. Res..

[41]  Cuimei Guo,et al.  A survey on spectral clustering , 2012, World Automation Congress 2012.

[42]  Charu C. Aggarwal,et al.  Data Clustering , 2013 .

[43]  Jun Zhong,et al.  Personalized Activity Recognition Using Molecular Complex Detection Clustering , 2014, 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops.

[44]  Ming Liu,et al.  Sensor-based human activity recognition system with a multilayered model using time series shapelets , 2015, Knowl. Based Syst..

[45]  Jun Zhong,et al.  Unsupervised Race Walking Recognition Using Smartphone Accelerometers , 2015, KSEM.