Classification of Data structure

Data Structure can be classified in two categories. According to these categories we can access or manage data according to our need. There are various ways to classify data structure.

1. Primitive and Non Primitive Data Structure: The data structure that are   atomic (indivisible) are called primitive. Examples are integer, real and characters. The Data structures that are not atomic are called non-primitive or composite. Examples are records, array and string.
2. Linear and Non-Linear Data Structures:In a linear data structure, the data items are arranged in a linear sequence. For Example: array. In a non-linear data structure, the data items that are not in sequence. For Example: trees and graphs.
3. Homogeneous and Non Homogeneous Data Structure:In homogeneous data structure, all the elements are of same type. For Example: arrays. In non-homogeneous data structure, the elements may or may not be of the same type. For Example: Records.
4. Static and Dynamic Data Structures: Static data structures are those whose size and structures, associated location is fixed at compile time. Dynamic structures are ones whose ones which expand or shrink as required during the program execution and there associate memory location change.