3 ms·
I've been playing with some clustering stuff in my free time for the past few months. What I've found is that the problem seems to get a lot more reasonable if
by samg_ 15y ago
I've been playing with some clustering stuff in my free time for the past few months.
What I've found is that the problem seems to get a lot more reasonable if you know how many clusters there are.
K-Means requires this information, but afaict agglomerative techniques don't. I wonder why this tool's agglomerative clustering method requires the number of clusters as an argument.
- microtherion 15y agoYou're right that agglomerative clustering (unlike K-means) does not inherently need to know the # of clusters in advance. However, it still needs some sort of termination criterium, and # of clusters is one possible criterium. Since lsm operates in a transformed space, other commonly used criteria like cluster distance may not be as convenient for the user to express.