What are the types of clustering technique?

1 Answer

Answer :

i. Agglomerative clustering

 ii. K-means clustering 

Related questions

Description : Artificial neural network used for A. Pattern Recognition B. Classification C. Clustering D. All of these

Last Answer : D. All of these

Description : K-means, self-organizing maps, hierarchical clustering are the example of _____. A. Supervised learning B. Unsupervised learning C. Machine learning D. Deep learning

Last Answer : B. Unsupervised learning 

Description : What do you understand by Clustering , Classification and Regression model. -AI Class 9th

Last Answer : Regression: It predicts continuous valued output.The Regression analysis is the statistical model which is used to predict the numeric data instead of labels. It can also identify the ... very similar and points in different clusters are different. It determines grouping among unlabeled data.

Description : The process of representing Infinite set of values with a much smaller set is called a. Mapping b. clustering c. Quantization d. Sampling

Last Answer : c. Quantization

Description : In Data mining, .............. is a method of incremental conceptual clustering. (A) STRING (B) COBWEB (C) CORBA (D) OLAD

Last Answer : (B) COBWEB

Description : Which technique is being investigated as an approach to automatic programming? a) generative CAI b) specification by example c) non-hierarchical planning d) all of the mentioned

Last Answer : b) specification by example

Description : Constraint Propagation technique actually modifies the CSP problem. a) True b) False

Last Answer : a) True

Description : Which of the following is/are Uninformed Search technique/techniques? a) Breadth First Search (BFS) b) Depth First Search (DFS) c) Bidirectional Search d) All of the mentioned

Last Answer : d) All of the mentioned

Description : An Artificial Intelligence technique that allows computers to understand associations and relationships between objects and events is called _____________ a) heuristic processing b) cognitive science c) relative symbolism d) pattern matching

Last Answer : c) relative symbolism

Description : The CAI (Computer-Assisted Instruction) technique based on programmed instruction is __________ a) frame-based CAI b) generative CAI c) problem-solving CAI d) intelligent CAI

Last Answer : a) frame-based CAI

Description : A computer vision technique that relies on image templates is __________ a) edge detection b) binocular vision c) model-based vision d) robot vision

Last Answer : c) model-based vision

Description : A.M. turing developed a technique for determining whether a computer could or could not demonstrate the artificial Intelligence, Presently, this technique is called __________ a) Turing Test b) Algorithm c) Boolean Algebra d) Logarithm

Last Answer : a) Turing Test

Description : Membership function can be thought of as a technique to solve empirical problems on the basis of A. knowledge B. examples C. learning D. experience

Last Answer : D. experience

Description : An AI technique that allows computers to understand associations and relationships between objects and events is called: a. heuristic processing b. cognitive science c. relative symbolism d. pattern matching

Last Answer : d. pattern matching

Description : List the steps involved in simple problem solving technique.

Last Answer : i. Goal formulation ii. Problem formulation iii. Search iv. Solution v. Execution phase

Description : A.M. turing developed a technique for determining whether a computer could or could not demonstrate the artificial Intelligence,, Presently, this technique is called A. Turing Test B. Algorithm C. Boolean Algebra D. Logarithm E. None of the above

Last Answer : A. Turing Test

Description : How many types of 3-D image processing techniques are there in image perception? a) 3 b) 4 c) 5 d) 6

Last Answer : c) 5

Description : How many types of image processing techniques are there in image perception? a) 1 b) 2 c) 3 d) 4

Last Answer : c) 3

Description : Pick out the correct option about the types of parsing. a) Top-down and bottom-up parsing b) Interpretation and communication c) Roll-up and roll-down d) None of the mentioned

Last Answer : a) Top-down and bottom-up parsing

Description : How many types are available in machine learning? a) 1 b) 2 c) 3 d) 4

Last Answer : c) 3

Description : How many types of random variables are available? a) 1 b) 2 c) 3 d) 4

Last Answer : c) 3

Description : How many types of recognition are there in artificial intelligence? a) 1 b) 2 c) 3 d) 4

Last Answer : c) 3

Description : How many types of quantification are available in artificial intelligence? a) 1 b) 2 c) 3 d) 4

Last Answer : b) 2

Description : What are the two basic types of inferences? a) Reduction to propositional logic, Manipulate rules directly b) Reduction to propositional logic, Apply modus ponen c) Apply modus ponen, Manipulate rules directly

Last Answer : a) Reduction to propositional logic, Manipulate rules directly

Description : There exist only two types of quantifiers, Universal Quantification and Existential Quantification. a) True b) False

Last Answer : a) True

Description : How many types are available in uninformed search method? a) 3 b) 4 c) 5 d) 6

Last Answer : c) 5

Description : What are the 2 types of learning A. Improvised and unimprovised B. supervised and unsupervised C. Layered and unlayered D. None of the above

Last Answer : B. supervised and unsupervised

Description : Evolutionary computation is A . Combining different types of method or information B. Approach to the design of learning algorithms that is structured along the lines of the theory of evolution. C. ... the knowledge of an expert formulated in terms of if-then rules. D . None of these

Last Answer : B. Approach to the design of learning algorithms that is structured along the lines of the theory of evolution.

Description : Expert systems A . Combining different types of method or information B. Approach to the design of learning algorithms that is structured along the lines of the theory of evolution C. an information base ... the knowledge of an expert formulated in terms of if-then rules D . None of these

Last Answer : C. an information base filled with the knowledge of an expert formulated in terms of if-then rules

Description : How many types are available in machine learning? a) 1 b) 2 c) 3 d) 4

Last Answer : c) 3

Description : How many types of random variables are available? a) 1 b) 2 c) 3 d) 4

Last Answer : c) 3

Description : What are the types of machine translation?

Last Answer : i. Rough translation  ii. Restricted source translation  iii. Pre edited translation  iv. Literacy translation

Description : What are the types of information extraction systems?

Last Answer : i. Attribute based system  ii. Relational based system

Description : What are the types of evaluation of IR systems?

Last Answer : i. Recall ii. Precision

Description : What are the types of smoothing?

Last Answer : i. Add one smoothing. ii. Linear Interpolation Smoothing

Description : What are the types of Ambiguity?

Last Answer : i. Lexical Ambiguity  ii. Syntactic Ambiguity  iii. Semantic Ambiguity

Description : What are the types of parsing?

Last Answer : i. Top down parsing  ii. Bottom up parsing

Description : What are the different types of induction heuristics?

Last Answer : There are two different types of induction heuristics. They are: i. Require-link heuristics. ii. Forbid-link heuristics.

Description : What are the different types of planning?

Last Answer : The different types of planning are as follows: i. Situation space planning. ii. Progressive planning. iii. Regressive planning. iv. Partial order planning. v. Fully instantiated planning.

Description : What are the types of machine learning?

Last Answer : i. Supervised Learning  ii. Unsupervised Learning  iii. Reinforcement Learning

Description : What are the 2 types of processes?

Last Answer : i. Discrete events – it have definite structure  ii. Liquid events - Categories of events with process.

Description : What are the 2 types of frame problem?

Last Answer : i. Representational Frame Problem  ii. Inferential Frame Problem

Description : What are the 2 types of synchronic rules?

Last Answer : i. Diagnostic rules ii. Casual rules.

Description : Define Quantifier and it’s types.

Last Answer : Quantifiers are used to express properties of entire collection of objects rather than representing the objects by name. Types: i. Universal Quantifier ii. Existential Quantifier iii. Nested Quantifier.

Description : What are the 3 types of symbol which is used to indicate objects, relations and functions?

Last Answer : i) Constant symbols for objects  ii) Predicate symbols for relations  iii) Function symbols for functions

Description : What are the types of constraints?

Last Answer : There are 5 types, a. Unary constraints relates one variable. b. A binary constraint relates two variables. c. Higher order constraints relate more than two variables. d. Absolute constraints. e. Preference constraints.

Description : What are the 2 types of memory bounded heuristic algorithms?

Last Answer : i. Recursive Best First Search(RBFS)  ii. Memory bounded A*(MA*)

Description : What are the different types of problem?

Last Answer :  Single state problem, multiple state problems, Contingency problem, Exploration problem. 

Description : The hardware feature of LISP machines generally includes _____________ a) Large memory and high-speed processorb) Letter quality printers and eight-inch disk drives c) A mouse and specialized keyboard d) A mouse and specialized keyboard, Letter quality printers and eight-inch disk drives

Last Answer : d) A mouse and specialized keyboard, Letter quality printers and eight-inch disk drives

Description : In which of the following situations might a blind search be acceptable? a) Real life situation b) Complex game c) Small search space d) All of the mentioned

Last Answer : c) Small search space