Field Detail

• COV_MAT_DEFAULT

  public static final int COV_MAT_DEFAULT

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  Constant Field Values

• COV_MAT_DIAGONAL

  public static final int COV_MAT_DIAGONAL

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  Constant Field Values

• COV_MAT_GENERIC

  public static final int COV_MAT_GENERIC

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  Constant Field Values

• COV_MAT_SPHERICAL

  public static final int COV_MAT_SPHERICAL

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  Constant Field Values

• DEFAULT_MAX_ITERS

  public static final int DEFAULT_MAX_ITERS

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  Constant Field Values

• DEFAULT_NCLUSTERS

  public static final int DEFAULT_NCLUSTERS

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  Constant Field Values

• START_AUTO_STEP

  public static final int START_AUTO_STEP

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  Constant Field Values

• START_E_STEP

  public static final int START_E_STEP

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  Constant Field Values

• START_M_STEP

  public static final int START_M_STEP

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  Constant Field Values

Method Detail

• create

  public static EM create()

• getClustersNumber

  public int getClustersNumber()

• getCovarianceMatrixType

  public int getCovarianceMatrixType()

• getCovs

  public void getCovs(java.util.List<Mat> covs)

• getMeans

  public Mat getMeans()

• getTermCriteria

  public TermCriteria getTermCriteria()

• getWeights

  public Mat getWeights()

• predict2

  public double[] predict2(Mat sample,
                           Mat probs)

• setClustersNumber

  public void setClustersNumber(int val)

• setCovarianceMatrixType

  public void setCovarianceMatrixType(int val)

• setTermCriteria

  public void setTermCriteria(TermCriteria val)

• trainE

  public boolean trainE(Mat samples,
                        Mat means0)

• trainE

  public boolean trainE(Mat samples,
                        Mat means0,
                        Mat covs0,
                        Mat weights0,
                        Mat logLikelihoods,
                        Mat labels,
                        Mat probs)

• trainEM

  public boolean trainEM(Mat samples)

• trainEM

  public boolean trainEM(Mat samples,
                         Mat logLikelihoods,
                         Mat labels,
                         Mat probs)

• trainM

  public boolean trainM(Mat samples,
                        Mat probs0)

• trainM

  public boolean trainM(Mat samples,
                        Mat probs0,
                        Mat logLikelihoods,
                        Mat labels,
                        Mat probs)