- hierarchical or partitional - overlapping or non-overlapping - fuzzy or crisp - complete or incomplete Note: Each part should be labeled with four characteristics, e.g., partitional, overlapping, crisp, and incomplete. Also, if you feel there may be some ambiguity about what characteristics a grouping has, provide a short justification of your answer. Case 1: The objects are the students in a class. There are groups for each official grade students received for the class. Case 2: The objects are cities. There are groups of cities corresponding to various locations, namely, county (local region), state or province, and country. Case 3: The objects are the applicants to a college. Each applicant is assigned a score from 0 to 10 indicating the likelihood/desirability of their admission. Even before any decisions have been made, the admissions personnel view the students as belonging to two groups: those that will be accepted and those that will be rejected.
In Case 1: K- Means Clustering can be done in this case.
In Case 2: Given that objects are cities, I think hierarchical clustering can be used since clusters can be made based on the locations distance.
In Case 3: Roughly the idea is division of students into two sets and definitely according to the question a student whose application is accepted will fall in one group(accepted) and the others in another group. Clearly a student cannot fall in both the groups. So overlapping is not possible. Since Partitional clustering is all about division of set of data objects into non-overlapping subsets. So I think this is apt.
- hierarchical or partitional - overlapping or non-overlapping - fuzzy or crisp - complete or incomplete Note: Each part should be labeled with four characteristics, e.g., partitional, overlapping, cr...
Types of Clusterings. Each of the following parts describes a collection of groups. Describe each of these groups in terms of the characteristics Types of Clusterings. Each of the following parts describes a collection of groups. Describe each of these groups in terms of the characteristics that we applied to sets of clusters. Specifically, classify the groups as to what Types of Clusterings. Each of the following parts describes a collection of groups. Describe each of these groups in terms...