Chameleon Features Categorical Variables Anomaly Detection Missing Values Prediction Feature Extraction Proprietary Algorithms Seventh Sense Software Chameleon Homepage Cluster Analysis Density Estimation Classification Visualisation


Seventh Sense Software actively takes part in multivariate statistical research. The company has developed several state-of-the-art statistical algorithms and has made a number of important mathematical discoveries in pure statistics. Amongst them are the following:

Derivation of a rigorous entropic approach to the general multivariate density estimation problem, namely that of finding the population probability distribution which best fits a given set of multivariate data samples.

Development of the world's fastest single-link clustering algorithm for Euclidean data sets. The algorithm is both storage efficient, coping easily with enormous data sets, and parallelisable for time-critical applications.

Development of advanced multiresolution edge detection techniques for removal of mixed pixels from multispectral imagery to enhance results from density-based hierarchical clustering techniques such as the single-link method.

Discovery of an important one-to-one relationship between the minimal spanning tree resulting from single-link clustering of a data set and its sample density distribution, leading to the development of the so-called "bubble model" density estimator.

Development of improved parameter estimators and hypothesis testing methods for spatial Poisson processes.

Development of a fast, self-consistent and iterative approach to locally-adaptive multivariate kernel density estimation which allows rapid convergence to a final solution even with high-dimensional data.