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Questions and Answers
Which method is used to divide a group of objects into clusters so that the objects within a cluster are similar but objects taken from different clusters are dissimilar?
Which method is used to divide a group of objects into clusters so that the objects within a cluster are similar but objects taken from different clusters are dissimilar?
- Cluster Analysis (correct)
- Data Visualization
- HTS Data Sets
- Data Mining
What is the purpose of selecting a representative subset of compounds in cluster-based compound selection?
What is the purpose of selecting a representative subset of compounds in cluster-based compound selection?
- To calculate simple statistics
- To generate descriptors for each compound
- To group together similar objects (correct)
- To divide the molecules into subsets
What are the key steps involved in cluster-based compound selection?
What are the key steps involved in cluster-based compound selection?
- Calculate similarity, select representative subset, generate descriptors
- Generate descriptors, calculate similarity, select representative subset (correct)
- Calculate similarity, generate descriptors, select representative subset
- Select representative subset, generate descriptors, calculate similarity
Which method aims to find a line that best separates the active and inactive molecules?
Which method aims to find a line that best separates the active and inactive molecules?
What does the discriminant function in a linear discriminant analysis represent?
What does the discriminant function in a linear discriminant analysis represent?
What type of neural network consists of layers of nodes with connections between all pairs of nodes in adjacent layers?
What type of neural network consists of layers of nodes with connections between all pairs of nodes in adjacent layers?
What is the key objective of Data Mining Methods?
What is the key objective of Data Mining Methods?
Which method measures the intercluster distance as the average of the distances between all pairs of compounds in the two clusters?
Which method measures the intercluster distance as the average of the distances between all pairs of compounds in the two clusters?
How can the appropriate number of clusters be determined in hierarchical clustering?
How can the appropriate number of clusters be determined in hierarchical clustering?
In cell-based or partitioning methods, how is the multidimensional space divided into cells?
In cell-based or partitioning methods, how is the multidimensional space divided into cells?
Which method maps a multidimensional data set to a lower 2D or 3D space to visualize it?
Which method maps a multidimensional data set to a lower 2D or 3D space to visualize it?
Which technique attempts to find a boundary or hyperplane that separates two classes of compounds?
Which technique attempts to find a boundary or hyperplane that separates two classes of compounds?
What is the purpose of ensemble approaches in machine learning?
What is the purpose of ensemble approaches in machine learning?
What is the main disadvantage of Support Vector Machines (SVM)?
What is the main disadvantage of Support Vector Machines (SVM)?
What is the purpose of modifying the vectors of the winning node and its neighbors in a Kohonen network?
What is the purpose of modifying the vectors of the winning node and its neighbors in a Kohonen network?
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