I have 1 million 5-dimensional points that I need to group into k clusters with k << 1 million. In each cluster, no two points should be too far apart (e.g. they could be bounding spheres with a
Please tell what is termin \"full fledged KI\"? As i understand it is part of 开发者_开发知识库data mining for text analyzing. Am i right? Some interesting and useful links will be fine!
So I have this Table: Trans_IDNameFuzzy_ValueTotal_Item 100I10.333333333 100I20.333333333 100I50.333333333
First find the minimum frequent patterns from the database. Then divide them into various data types like interval based , binary ,ordinal variables etc and define various distance measures for all th
after studying decision tree for a while, I noticed there is a small technique called boosting. I see in normal cases, it will improve the accuracy of the decision tree.
As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references,or expertise, but this question will likely solicit debate, a
I am using Enterprise Miner 6.2 and want to create a data source but my option is a SAS Table.How d开发者_高级运维o I go about exporting SQL Server or Excel data into a SAS table?SAS has many ways of
We are building a database of scientific papers and performing analysis on the abstracts. The goal is to be able to say \"Interest in this topic has gone up 20% from last year\". I\'ve already tried k
Closed. This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing
recently I came to study clustering in data-mining an开发者_运维技巧d I\'ve studied sequential clustering and hierarchical clustering and k-means.
加载中,请稍侯......