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type of heuristic search is neural network?

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The objects on
the boundaries between several classes are not forced to fully
belong to one of the cluster or classes only, but rather are assigned membership
degrees indicating their partial membership.

(TRUE)(FALSE)

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Fuzzy Clustering Validation(Ammar) ¯\_(ツ)_/¯ 

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Fuzzy Clustering Validation(Ammar) ¯\_(ツ)_/¯ 

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1.  How do fuzzy clustering difffers from k-means function?

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: Which of the given is not a classifier that model the output directly.
(a)  k-NN
(b)  Decision trees 
(c)  Naive Bayes
(d)  SVM 
Answer: c


Q: Calculate the mean for the given numbers,
25.2   19.3   18.5   21.7   20.1   24.3 22.8   23.1   19.8 
Answer : 21.64

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1.What is Fuzzy C means???
2.What is the function of centroid in Fuzzy C???

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Q)The effectiveness of an SVM depends upon:
A) Selection of Kernel
B) Kernel Parameter
C) Soft margin Parameter C
D) All of the above

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What would a diagram look like for a support vector machine that has overfit data?

Picture answer:

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1. A preceptron is:
a) a single layer feed-forward neural network pre-processor
b) an auto associative neural network
c) double layer auto associative network

2. What are the advantages of neural networks over conventional computers?

(i) They have the ability to learn by example
(ii) They are more fault tolerant
(iii)They are more suited for real time operation due to their high 'computational' rates

a) (i) and (ii) are true
b) (i) and (iii) are true
c) all of them are true

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Which of the following is true for neural network?
i) The training time depends on the size of the network
ii) Neural networks can be simulated on a conventional computer.
iii) Artificial neurons are identical in operation to biological ones
(a) all
(b) ii) only
(c) i) and ii) only

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What is the weakness of SVM?
Answered by Aisyah:
1) Sensitive to noise
2) Only considered two clases

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The SVM's  are less effective when:
a) The data is linearly separable
b) The data is clean and ready to use
c) The data is noisy and contains overlapping points

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How does fuzzy clustering works?

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What is the benefit of using support vector machines (SVM)?

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Fuzzy C-Means (FCM) is a clustering method that allows for each data point to belong to multiple
clusters with varying degrees of membership. Arrange in order, the steps taken by FCM during clustering.

I Randomly initialize the cluster membership value
II Update the membership value
III Calculate the objective function
IV Calculate the clusters centers
V Repeat the previous steps

A. I, III, IV, V, II
B. I. IV, II, III, V
C. IV, III, I, II, V
D. I, IV, III, II, V

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What type of features can be used in Naive Bayes ?

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Is Fuzzy logic is an approach to computing based on "degrees of truth" or "true or false" (1 or 0) Boolean logic?

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What is the function of support vectors in support vector machine?

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What is the difference between the soft margin and hard margin of SVM?

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State one objective of neural network?

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How to control overfitting in SVM?

Answer by Shafiqah : overfitting can be controlled by soft margin approach

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What advantages using naive bayes?

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State the algorithm used in Naive Bayes.

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Q: Which of the given is not a classifier that model the output directly.
(a)  k-NN
(b)  Decision trees
(c)  Naive Bayes
(d)  SVM

Q: Calculate the mean for the given numbers,
25.2   19.3   18.5   21.7   20.1   24.3 22.8   23.1   19.8
Answer :

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1. Why do we need biological neural networks?
a) to solve tasks like machine vision & natural language processing
b) to apply heuristic search methods to find solutions of problem
c) to make smart human interactive & user friendly system
d) all of the mentioned

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Fuzzy c-means (FCM) is based on the minimization of the following function. ( sila rujuk gambar di bawah)
Based on the function below what is D define?

A: number of data points
B: number of cluster
C: the center of the cluster
D: the data point.

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What is the difference between Naive Bayesian network and Naive Bayes Classifier?

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Feed-forward Nets contains three input layers in which information is distributed. What is the flow of the information through each layer?

a. Multidirectional
b. One direction
c. Unidirectional
d. None of above

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Q: State the advantages of using Naive Bayes Classifier

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Name the three methods (models) to establish classifier

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what type of heuristic search is neural network?

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Q: Describe about fuzzy C-means?

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What is the basic concept of Naive Bayes?