Clustering data is the process of grouping items so that items in a group (cluster) are similar and items in different groups are dissimilar. After data has been clustered, the results can be analyzed ...

Discrete data. These occur where the observations can only take certain numerical values, such as the number of visits to the dentist, or the number of episodes of mouth ulcers. Continuous data.

Typically what people do is find a “fit” for those values using numerical data. For example, you might have an experiment where someone measured the quantity of active RAF at different drug doses.

SSC CGL Exam: Numerical Ability: Concept & Sample Question: Data Interpretion The SSC team of Jagranjosh.com has prepared topic wise study material for SSC CGL Exam.

Six sample functions of a stochastic vector field with probabilistic characteristics estimated from field data analysis are used to derive six sets of stochastic input parameters for the soil ...

Nonparametric statistics refer to a statistical method in which the data is not required to fit a normal distribution. Rankings should not change.

Categorical Data 101 There are two main types of data: categorical and numerical. Numerical data, as the name implies, refers to numbers. Categorical data is everything else. As its name suggests, ...

Clustering non-numeric -- or categorial -- data is surprisingly difficult, but it's explained here by resident data scientist Dr. James McCaffrey of Microsoft Research, who provides all the code you ...