Theoretic distributions
- Normal distribution
- Log normal distribution
- Uniform distribution
- Exponential distribution
- Chi-squared distribution
Kolmogorov-Smirnov Tests
- for Normal distribution
- for Log normal distribution
- for Uniform distribution
- for Exponential distribution
- for Chi-squared distribution
- for the same distribution of two samples
Multivariate Linear Regression
Correlation
- Pearson correlation (classic)
- Kendall correlation (robust)
- Spearman correlation (robust)
- Calculation of correlation matrix
- Hierarchical clustering on correlation matrix (creates groups of dimensions)
Covariance matrix
- Classic covariance matrix
- MCD covariance matrix (robust)
Applications using the covariance matrix
- Mahalanobis distance / Robust distance
- Principal Component Analysis (classic / robust)
- Multivariate outlier detection
Clustering
- k means clustering
- Fuzzy k means clustering
Transformations
- Absolute transformation
- Square root transformation
- Logarithmic transformation (ln, log10)
- Z standardization (classic, robust, a-robust)
- Linear Scale to [0,1] interval
- Linear Scale (zero preserving)
Moments
- Arithmetic mean, a-trimmed mean, median
- Standard deviation, variance, MAD, a-trimmed standard deviation, mean of absolute deviations
- Skewness, kurtosis
- Quantiles, quartiles, Inter Quartile Range (IQR)
- 1D outlier detection
Utilities
- Ranks
- Number of unique values
- Unique values
- k smallest element (expected running time O(n))
- Manhatten / Euclidean distances (with dimension weighting)
- Matrix inversion
- Determinant of a matrix
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