Consider the following data points and their class labels: […

Consider the following data points and their class labels: [P1: (1, 3, 4), A], [P2: (7, 2, 4), B], [P3: (8, 1, 6), B], [P4: (7, 7, 1), A], [P5, (2, 1, 1), A]. We want to use the distance weighted 3-NN classification with this data.  Each point at a distance of d has a vote of (1/d) for predicting thee class label.   (a) (8) For the query point (4, 4, 4) find and report the data points in its 3-nearest-neighbor list, their weights for decision, and the class label that should be assigned to this query point.     (b) (6) What is gained and what is lost when we increase the value of K in a K-NN classifier?    

Consider the following three data vectors. D1: (4, 6, 7, 9),…

Consider the following three data vectors. D1: (4, 6, 7, 9), D2:(6, 9, 10, 14), and D3: (4, 6, 2, 1). (a) (3) What are the Manhattan distances for the data-point pairs: D1-D2: D1-D3: D2-D3: (b) (5) What are the cosine similarities for the data-point pairs: D1-D2: D1-D3: D2-D3: (c) (2) Which two pints are the closest as per the Manhattan distance?   (d) (2) Which two points are the closest as per the Cosine similarity?  

Identify the following as Catabolic or Anabolic reactions:–…

Identify the following as Catabolic or Anabolic reactions:—————————————-Type C for CatabolicType A for Anabolic—————————————- [a] – The breaking of a glycosidic linkage between two monosaccharides[b] – The formation of an ester linkage between a fatty acid and a glycerol[c] – An uphill chemical reaction with a positive change in free energy (G)[d] – The exergonic transformation of ATP into ADP and Pi[e] – The decomposition of butane into carbon dioxide and water[f] – The formation of a bond that releases water