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Clustering Algorithms Meta Applier (CAMA) Toolbox

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Title: Clustering Algorithms Meta Applier (CAMA) Toolbox


1
Clustering Algorithms Meta Applier (CAMA) Toolbox
Dmitry S. Shalymov Kirill S. Skrygan Dmitry A.
Lyubimov
2
Clustering
  • Goals
  • To detect the underlying structure in data
  • To reduce data set capacity
  • To extract unique objects
  • Usage
  • Data mining
  • Machine learning
  • Financial mathematics
  • Optimization
  • Statistics
  • Pattern recognition
  • Control strategies development

SYRCoSE09
3
Clustering Problem
Clustering and Classification
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Variety of Clustering Algorithms
  • Hierarchical
  • Aglomerative
  • Partitioning
  • Iterative
  • Hard (K-means, SVM, SPSA)
  • Fuzzy (FCM)
  • Important parameters
  • -Distance norm
  • -Number of clusters
  • -Initial values of cluster centers

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5
Cluster Stability Algorithms
  • Indexes
  • Stability (similarity, merit) functions
  • Probabilistic measures assessing the likelihood
    of a decision
  • Density estimation approaches

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Stochastic Approximation
Recursive stochastic approximation
FDSA
SPSA
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Effectiveness of SPSA
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Finding the number of clusters in data set
  • Run the SPSA algorithm for different numbers of
    clusters, K, and calculate the corresponding
    distortions
  • Select a transformation power, Y
  • Calculate the jumps in transformed distortion
  • Estimate the number of clusters in the data set
    by

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Structure of data set detection
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Examples
  • Iris (3 clusters, 4 features, 150 instances)
  • Wine (3 clusters, 13 features, 178 instances)
  • Breast Cancer (2 clusters, 32 features, 569
    instances)
  • Image Segmentation (7 clusters, 19 features, 2310
    instances)

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Software Tools for Clustering Analysis
  • Research
  • COMPACT
  • DCPR (Data Clustering Pattern Recognition)
  • FCDA (Fuzzy Clustering and Data Analysis Toolbox)
  • ClusterPack Matlab Toolbox
  • The Curve Clustering Toolbox
  • SOM (Self-Organizing Map)
  • Spectral Clustering Toolbox
  • Yashil's FCM Clustering
  • License software
  • SPSS
  • STATISTICA
  • Characteristics
  • Visualization
  • Efectiveness analysis with patterns
  • Tools to check performance

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Clustering Algorithms Meta Applier
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Clustering Algorithms Meta Applier
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CAMA. Kernel
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CAMA. Kernel
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CAMA Toolboxhttp//ancient.punklan.net8084/CAMA2
/index.jsp
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CAMA Toolbox
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CAMA Toolbox
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Thank you!
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