Proceedings, The Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-15) Bayesian Clustering of Player Styles for Multiplayer Games Aline Normoyle Shane T. Jensen

Source URL: www-stat.wharton.upenn.edu

• Statistics
• Computing
• Mathematics
• Cluster analysis
• K-means clustering
• Hierarchical clustering
• Non-negative matrix factorization
• Fuzzy clustering
• Machine learning
• Computer cluster
• Dirichlet process
• Consensus clustering

EigenSense: Saving User Effort with Active Metric Learning Eli T Brown Remco Chang

Source URL: poloclub.gatech.edu

• Machine learning
• Multivariate statistics
• K-nearest neighbors algorithm
• Active learning
• Eigenvalues and eigenvectors
• Cluster analysis
• Large margin nearest neighbor
• Recommender system
• K-means clustering
• Support vector machine
• Markov chain
• Multidimensional scaling

TSC-DL: Unsupervised Trajectory Segmentation of Multi-Modal Surgical Demonstrations with Deep Learning Adithyavairavan Murali*, Animesh Garg*, Sanjay Krishnan*, Florian T. Pokorny, Pieter Abbeel, Trevor Darrell, Ken Gold

Source URL: goldberg.berkeley.edu

• Computational neuroscience
• Cluster analysis
• Image segmentation
• Multivariate statistics
• Deep learning
• Mixture model
• Convolutional neural network
• K-means clustering
• Hierarchical clustering
• Artificial neural network
• Principal component analysis

Decision-theoretic Clustering of Strategies

Source URL: poker.cs.ualberta.ca

• Computational statistics
• Statistics
• Mathematics
• K-means clustering
• Hierarchical clustering
• Cluster analysis
• Image segmentation
• K-means++
• Greedy algorithm
• K-medians clustering
• Data stream clustering
• Determining the number of clusters in a data set

Spectral Clustering via the Power Method - Provably Christos Boutsidis Yahoo, 229 West 43rd Street, New York, NY, USA. BOUTSIDIS @ YAHOO - INC . COM

Source URL: jmlr.org

• Algebra
• Mathematics
• Linear algebra
• Matrix theory
• Algebraic graph theory
• Spectral clustering
• Eigenvalues and eigenvectors
• Graph partition
• Cluster analysis
• Laplacian matrix
• Singular value decomposition
• K-means clustering

Pragmatic Text Mining: Minimizing Human Effort to Quantify Many Issues in Call Logs

Source URL: www.kirshenbaum.net

• Machine learning
• Statistical classification
• Data mining
• Cluster analysis
• Geostatistics
• K-means clustering
• Pattern recognition
• Support vector machine
• Supervised learning
• Naive Bayes classifier
• Determining the number of clusters in a data set
• Semi-supervised learning

Coresets for Nonparametric Estimation — the Case of DP-Means Olivier Bachem Mario Lucic Andreas Krause ETH Zurich, Switzerland

Source URL: jmlr.org

• Statistics
• Computational statistics
• Cluster analysis
• Machine learning
• Monte Carlo methods
• K-means clustering
• K-means++
• Dirichlet process
• Mixture model
• Median
• Importance sampling
• Determining the number of clusters in a data set

Deep Feature Synthesis: Towards Automating Data Science Endeavors James Max Kanter Kalyan Veeramachaneni

Source URL: groups.csail.mit.edu

• Machine learning
• Formal sciences
• Learning
• Artificial intelligence
• Statistics
• K-means clustering
• Pattern recognition
• Deep feature synthesis
• Deep learning
• Data mining
• Support vector machine
• Artificial neural network

Functional Subspace Clustering with Application to Time Series Mohammad Taha Bahadori∗ MOHAMMAB @ USC . EDU David Kale∗† DKALE @ USC . EDU

Source URL: jmlr.org

• Machine learning
• Statistics
• Learning
• Artificial intelligence
• Multivariate statistics
• Dynamic programming
• Cluster analysis
• Data mining
• Geostatistics
• K-means clustering
• Principal component analysis
• Dynamic time warping

Win Some, Learn Some K Means Clustering Style Our Data Our data is taken from FightMetric LLC , a public online clearinghouse of all fight statistics collected live

Source URL: cs229.stanford.edu