发明名称 |
LANDMARK POINT SELECTION |
摘要 |
An exemplary method comprises receiving data points, selecting a first subset of the data points to generate an initial set of landmarks, each data point of the first subset defining a landmark point and for each non-landmark data point: calculating first data point distances between a respective non-landmark data point and each landmark point of the initial set of landmarks, identifying a first shortest data point distance from among the first data point distances between the respective non-landmark data point and each landmark point of the initial set of landmarks, and storing the first shortest data point distance as a first landmark distance for the respective non-landmark data point. The method further comprising identifying a non-landmark data point with a longest first landmark distance in comparison with other first landmark distances and adding the identified non-landmark data point associated as a first landmark point to the initial set of landmarks. |
申请公布号 |
US2016034561(A1) |
申请公布日期 |
2016.02.04 |
申请号 |
US201514884511 |
申请日期 |
2015.10.15 |
申请人 |
Ayasdi, Inc. |
发明人 |
Sexton Harlan;Kloke Jennifer |
分类号 |
G06F17/30 |
主分类号 |
G06F17/30 |
代理机构 |
|
代理人 |
|
主权项 |
1. A method comprising:
receiving data points; selecting a first subset of the data points to generate an initial set of landmarks, each data point of the first subset defining a landmark point; for each non-landmark data point,
calculating first data point distances between a respective non-landmark data point and each landmark point of the initial set of landmarks;identifying a first shortest data point distance from among the first data point distances between the respective non-landmark data point and each landmark point of the initial set of landmarks; andstoring the first shortest data point distance as a first landmark distance for the respective non-landmark data point; identifying a non-landmark data point with a longest first landmark distance in comparison with other first landmark distances of other non-landmark data points; and adding the non-landmark data point associated with the longest first landmark distance as a first landmark point to the initial set of landmarks to generate an expanded set of landmark points. |
地址 |
Menlo Park CA US |