Method and apparatus for providing positioning services using multi-spacing clustering

A method comprising:

• detecting sensor data across a plurality of sensor spaces for a device, wherein the plurality of sensor spaces are associated with respective one or more sensor types;
• determining a likely intersection point of the plurality of sensor spaces to predict a point propensity for the device and to represent location data of the device based on the sensor data;
• performing a clustering of the location data across the plurality of sensor spaces to generate a cluster graph of a physical space associated with the sensor data;
• and
• performing a crowd-sourcing of the location data in combination with other location data determined for one or more other devices within the physical space over one or more time periods.

An apparatus comprising a processor configured to:

• detect sensor data across a plurality of sensor spaces for a device, wherein the plurality of sensor spaces are associated with respective one or more sensor types;
• determine a plurality of sensor signatures per sensor type;
• determine a likely intersection point of the plurality of sensor spaces to predict a point propensity for the device and to represent location data of the device based on the sensor data, wherein the likely intersection point matches the sensor signatures;
• and
• perform a clustering of the location data across the plurality of sensor spaces to generate a cluster graph of a physical space associated with the sensor data.

An apparatus comprising a processor configured to:

• detect sensor data across a plurality of sensor spaces for a device, wherein the plurality of sensor spaces are associated with respective one or more sensor types;
• determine a likely intersection point of the plurality of sensor spaces to predict a point propensity for the device and to represent location data of the device based on the sensor data;
• perform a clustering of the location data across the plurality of sensor spaces to generate a cluster graph of a physical space associated with the sensor data;
• and
• perform a crowd-sourcing of the location data in combination with other location data determined for one or more other devices within the physical space over one or more time periods.

A system comprising:

• a positioning platform configured to detect sensor data across a plurality of sensor spaces for a device, wherein the plurality of sensor spaces are associated with respective one or more sensor types;
• to determine a plurality of sensor signatures per sensor type;
• to determine a likely intersection point of the plurality of sensor spaces to predict a point propensity for the device and to represent location data of the device based on the sensor data, wherein the likely intersection point matches the sensor signatures;
• and to perform a clustering of the location data across the plurality of sensor spaces to generate a cluster graph of a physical space associated with the sensor data.

A system comprising:

• a positioning platform configured to detect sensor data across a plurality of sensor spaces for a device, wherein the plurality of sensor spaces are associated with respective one or more sensor types;
• to determine a likely intersection point of the plurality of sensor spaces to predict a point propensity for the device and to represent location data of the device based on the sensor data;
• to perform a clustering of the location data across the plurality of sensor spaces to generate a cluster graph of a physical space associated with the sensor data;
• and to perform a crowd-sourcing of the location data in combination with other location data determined for one or more other devices within the physical space over one or more time periods.