What are non-deterministic algorithms explain with example?

One example of a non-deterministic algorithm is the execution of concurrent algorithms with race conditions, which can exhibit different outputs on different runs.

What is deterministic and non-deterministic algorithms?

In deterministic algorithm, for a given particular input, the computer will always produce the same output going through the same states but in case of non-deterministic algorithm, for the same input, the compiler may produce different output in different runs.

What is meant by non-deterministic?

Filters. Non-predictive. Referring to the inability to objectively predict an outcome or result of a process due to lack of knowledge of a cause and effect relationship or the inability to know initial conditions.

What makes algorithm non-deterministic?

A non-deterministic algorithm can provide different outputs for the same input on different executions. Unlike a deterministic algorithm which produces only a single output for the same input even on different runs, a non-deterministic algorithm travels in various routes to arrive at the different outcomes.

Is PCA deterministic algorithm?

PCA is a deterministic algorithm which doesn’t have parameters to initialize and it doesn’t have local minima problem like most of the machine learning algorithms has.

Is K nearest neighbor deterministic algorithm?

4 Answers. KNN is a discriminative algorithm since it models the conditional probability of a sample belonging to a given class.

Why is K means non-deterministic?

The non-deterministic nature of K-Means is due to its random selection of data points as initial centroids. The key idea of the algorithm is to select data points which belong to dense regions and which are adequately separated in feature space as the initial centroids.

What makes an algorithm deterministic?

From Wikipedia, the free encyclopedia. In computer science, a deterministic algorithm is an algorithm that, given a particular input, will always produce the same output, with the underlying machine always passing through the same sequence of states.

What is PCA algorithm?

Principal Component Analysis is an unsupervised learning algorithm that is used for the dimensionality reduction in machine learning. It is a statistical process that converts the observations of correlated features into a set of linearly uncorrelated features with the help of orthogonal transformation.

Why is K-Means non-deterministic?

Is KNN is non-deterministic algorithm?

What makes algorithms non-deterministic?

A variety of factors can cause an algorithm to behave in a way which is not deterministic, or non-deterministic: If it uses external state other than the input, such as user input, a global variable, a hardware timer value, a random value, or stored disk data. If it operates in a way that is timing-sensitive, for example if it has multiple processors writing to the same data at the same time. If a hardware error causes its state to change in an unexpected way.

What is nondeterministic system?

In computer science, a nondeterministic algorithm is an algorithm that, even for the same input, can exhibit different behaviors on different runs, as opposed to a deterministic algorithm.

What is a deterministic algorithm?

Deterministic algorithm. Jump to navigation Jump to search. In computer science, a deterministic algorithm is an algorithm which, given a particular input, will always produce the same output, with the underlying machine always passing through the same sequence of states.