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Data stream clustering
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111	Package ‘streamMOA’ July 2, 2014 Version[removed]Date[removed]Title stream - Interface to MOA Algorithms Description This package provides an interface to algorithms implemented in the MOA (Massive Online Analysis) Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:38:08 Computational statistics Data stream mining Cluster analysis Statistics Data mining K-means clustering
112	streamMOA: Interface to Algorithms from MOA for stream Matthew Bola˜ nos John Forrest Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:38:08 Cluster analysis Data analysis Data mining Geostatistics Data stream clustering K-means clustering DBSCAN Statistics Multivariate statistics Machine learning
113	Approximate Clustering on Distributed Data Streams Qi Zhang #1, Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2008-08-13 11:14:50 Data analysis Data mining Geostatistics Machine learning Algorithm K-medians clustering K-means clustering Minimum spanning tree Data stream clustering Statistics Computational statistics Cluster analysis
114	CS49: Data Stream Algorithms Lecture Notes, Fall 2011 Amit Chakrabarti Dartmouth College Latest Update: December 19, 2012 Add to Reading List Source URL: www.cs.dartmouth.edu Language: English - Date: 2012-12-19 13:10:36 Theoretical computer science Analysis of algorithms Computer science Streaming algorithm Randomized algorithm Data stream clustering Applied mathematics Mathematics Algorithms
115	PDF Document Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2013-01-05 06:05:58 Data analysis Consensus clustering K-means clustering Clustering high-dimensional data Oracle Data Mining DBSCAN Hierarchical clustering Data stream clustering Fuzzy clustering Statistics Cluster analysis Multivariate statistics
116	Scalable Training of Mixture Models via Coresets Dan Feldman MIT Matthew Faulkner Add to Reading List Source URL: www.eew.caltech.edu Language: English - Date: 2012-05-15 11:47:37 Maximum likelihood Mixture model Normal distribution K-means clustering Time complexity Data stream clustering Maximum spacing estimation Statistics Estimation theory Expectation–maximization algorithm
117	Scalable K-Means++ Bahman Bahmani∗† Benjamin Moseley∗‡ Andrea Vattani∗§ Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2012-02-28 09:44:55 Machine learning K-means clustering K-medians clustering Cluster analysis Fisher–Yates shuffle Data stream clustering Consensus clustering Statistics Computational statistics K-means++
118	K-ary Clustering with Optimal Leaf Ordering for Gene Expression Data Ziv Bar-Joseph1 , Erik D. Demaine1 , David K. Gifford1 , Ang`ele M. Hamel3 , Tommi S. Jaakkola2 , and Nathan Srebro1 1 Add to Reading List Source URL: www.psrg.csail.mit.edu Language: English - Date: 2003-05-27 14:50:51 Data mining Geostatistics Machine learning Hierarchical clustering K-means clustering Binary tree Dynamic programming CURE data clustering algorithm Data stream clustering Statistics Cluster analysis Data analysis
119	Patterns of Temporal Variation in Online Media Jaewon Yang Jure Leskovec Stanford University Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2012-02-24 13:41:08 Data analysis Data mining Geostatistics K-means clustering K-medoids Computer cluster Fuzzy clustering Data stream clustering Statistics Computational statistics Cluster analysis
120	Approximate Kernel k-means: Solution to Large Scale Kernel Clustering Radha Chitta [removed] Rong Jin Add to Reading List Source URL: biometrics.cse.msu.edu Language: English - Date: 2011-05-22 09:57:22 Cluster analysis K-means clustering Spectral clustering Non-negative matrix factorization BIRCH Determining the number of clusters in a data set Data stream clustering Statistics Multivariate statistics Data analysis

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