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Part 1: (Dissimilarity based on Ordinal Attributes) For the sake of this question, consider the following two ordinal attributes Hair-color and Eye-color. Possible values for
Part 1: (Dissimilarity based on Ordinal Attributes) For the sake of this question, consider the following two ordinal attributes "Hair-color" and "Eye-color". Possible values for hair-color (ranked from highest to lowest) are as follows: Jet Black, Black, Dark Brown, Medium Brown, Light Brown, Dark Grey, Silver Grey, White Similarly, possible values for "Eye-color" (ranked from highest to lowest) are as follows: Black, Dark Brown, Dark Blue, Brown, Blue, Light Brown, Green, Light Blue, Light Green Given the following data table, compute the corresponding dissimilarity matrix. Object Hair-color Eye-color Identifier 1 Medium Brown Dark Brown N Light Blue 3 Silver Grey Light Brown Jet Black Light Brown 4 Black Note: Use Euclidean distance while constructing the dissimilarity matrix. Part 1: (Dissimilarity based on Ordinal Attributes) For the sake of this question, consider the following two ordinal attributes "Hair-color" and "Eye-color". Possible values for hair-color (ranked from highest to lowest) are as follows: Jet Black, Black, Dark Brown, Medium Brown, Light Brown, Dark Grey, Silver Grey, White Similarly, possible values for "Eye-color" (ranked from highest to lowest) are as follows: Black, Dark Brown, Dark Blue, Brown, Blue, Light Brown, Green, Light Blue, Light Green Given the following data table, compute the corresponding dissimilarity matrix. Object Hair-color Eye-color Identifier 1 Medium Brown Dark Brown N Light Blue 3 Silver Grey Light Brown Jet Black Light Brown 4 Black Note: Use Euclidean distance while constructing the dissimilarity matrix
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