Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describe a procedure which finds a hierarchical clustering by hill-climbing. The cost function  use is a hierarchical extension of the k-means cost; our local moves are tree restructurings and node reorderings.  show these can be accomplished efficiently, by exploiting special properties of squared Euclidean distances and by using techniques from scheduling algorithms.
['David Kauchak', 'Sanjoy Dasgupta']
I am writing a research paper on a idea An Iterative Improvement Procedure for Hierarchical Clustering
[{"from": "human", "value": "I am writing a research paper on a idea An Iterative Improvement Procedure for Hierarchical Clustering"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describe a procedure which finds a hierarchical clustering by hill-climbing. The cost function  use is a hierarchical extension of the k-means cost; our local moves are tree restructurings and node reorderings.  show these can be accomplished efficiently, by exploiting special properties of squared Euclidean distances and by using techniques from scheduling algorithms."}]