K means algorithm - Study guides, Class notes & Summaries

Equivalence - Answer-"x ≡ y (mod N) means that x/N and y/N have the same remainder a ≡ b (mod N) and c ≡ d (mod N) then: a + c ≡ a + d ≡ b + c ≡ b + d (mod N) a - c ≡ a - d ≡ b - c ≡ b - d (mod N) a ** c ≡ a ** d ≡ b ** c ≡ b ** d (mod N) ka ≡ kb (mod N) for any integer k ak ≡ bk (mod N) for any natural number k a + k ≡ b + k (mod N) for any integer k a + b = c, then a (mod N) + b (mod N) ≡ c (mod N) a ** b = c, then a (mod N) ** b (mod N) ≡ c (mod N)" ...

The correct number of clusters in Hierarchical clustering can be determined precisely using approaches such as silhouette scores (True or False) - correct answer False In K Means clustering, the analyst does not need to determine the number of clusters (K), these are always derived analytically using the kmeans algorithm. (True or False) - correct answer False One big difference between the unsupervised approaches in this module, and the supervised approaches in prior modules: Unsupervised...

COS3751 - Techniques Of Artificial Intelligence exam pack 2024 Artificial intelligence (University of South Africa) COS3751 Examination Preparation Page 1 of 12 Question 1 State Spaces [7] (a) Define the concept of a Fully observable environment. (1) An environment is said to be Fully observable if an agent’s sensors give it access to the complete state of the environment at each point in time. (b) Consider a game of chess. Is this a deterministic or stochastic environment? Cle...

Cos3751 exam pack 2022 Artificial intelligence (University of South Africa) lOMoARcPSD| COS3751 Examination Preparation Page 1 of 12 Question 1 State Spaces [7] (a) Define the concept of a Fully observable environment. (1) An environment is said to be Fully observable if an agent’s sensors give it access to the complete state of the environment at each point in time. (b) Consider a game of chess. Is this a deterministic or stochastic environment? Clearly explain why. (2) Det...

Pro Tools 110 Questions and Answers Already Passed A UI Preset can be stored by holding the __________ key and clicking the desired button. Command An Edit Playlist is ________________________________________________. A series of clips on a track. Can additional plug-ins be added on a frozen track? Yes Command to show or hide: Audio Clips Shift+Command+1 Command to show or hide: Auto Create Clip Groups Shift+Command+K Command to show or hide: Clip Groups Shift+Command+4 ...

ISYE-6501 Exam 1 QUESTIONS & CORRECT ANSWERS Algorithm - ANSWER a step-by-step procedure designed to carry out a task Change Detection - ANSWER Identifying when a significant change has taken place Classification - ANSWER Separation of data into two or more categories Classifier - ANSWER A boundary that separates data into two or more categories Cluster - ANSWER A group of points that are identified as being similar or near each other Cluster Center - ANSWER In some clustering ...

ISYE 6501 Final Questions and Answers Already Passed Support Vector Machine A supervised learning, classification model. Uses extremes, or identified points in the data from which margin vectors are placed against. The hyperplane between these vectors is the classifier SVM Pros/Cons Pros: It works really well with a clear margin of separation It is effective in high dimensional spaces. It is effective in cases where the number of dimensions is greater than the number of samples. It uses a subse...

ISYE-6501 Exam 1 QUESTIONS & CORRECT ANSWERS Algorithm - ANSWER a step-by-step procedure designed to carry out a task Change Detection - ANSWER Identifying when a significant change has taken place Classification - ANSWER Separation of data into two or more categories Classifier - ANSWER A boundary that separates data into two or more categories Cluster - ANSWER A group of points that are identified as being similar or near each other Cluster Center - ANSWER In some clustering ...

Support Vector Machine - A supervised learning, classification model. Uses extremes, or identified points in the data from which margin vectors are placed against. The hyperplane between these vectors is the classifier SVM Pros/Cons - Pros: It works really well with a clear margin of separation It is effective in high dimensional spaces. It is effective in cases where the number of dimensions is greater than the number of samples. It uses a subset of training points in the decision functio...

True. There exists a convergence proof. - Answer K-means is a clustering algorithm that is guaranteed to converge. False. A delayed reinforcement learning task is one where the optimal solution can only be found by associating incoming rewards with a whole sequence of previous actions, instead of just the latest one. The reward may very well be received in every time step also in delayed reinforcement learning. - Answer The main difference between immediate and delayed reinforcement lea...